renaissance-movie-lens_0
[2025-10-31T16:07:17.489Z] Running test renaissance-movie-lens_0 ...
[2025-10-31T16:07:17.489Z] ===============================================
[2025-10-31T16:07:17.489Z] renaissance-movie-lens_0 Start Time: Fri Oct 31 16:07:16 2025 Epoch Time (ms): 1761926836811
[2025-10-31T16:07:17.489Z] variation: NoOptions
[2025-10-31T16:07:17.489Z] JVM_OPTIONS:
[2025-10-31T16:07:17.489Z] { \
[2025-10-31T16:07:17.489Z] echo ""; echo "TEST SETUP:"; \
[2025-10-31T16:07:17.489Z] echo "Nothing to be done for setup."; \
[2025-10-31T16:07:17.489Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17619255785224/renaissance-movie-lens_0"; \
[2025-10-31T16:07:17.489Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17619255785224/renaissance-movie-lens_0"; \
[2025-10-31T16:07:17.489Z] echo ""; echo "TESTING:"; \
[2025-10-31T16:07:17.489Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17619255785224/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-31T16:07:17.489Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17619255785224/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-31T16:07:17.489Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-31T16:07:17.489Z] echo "Nothing to be done for teardown."; \
[2025-10-31T16:07:17.489Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17619255785224/TestTargetResult";
[2025-10-31T16:07:17.489Z]
[2025-10-31T16:07:17.489Z] TEST SETUP:
[2025-10-31T16:07:17.489Z] Nothing to be done for setup.
[2025-10-31T16:07:17.489Z]
[2025-10-31T16:07:17.489Z] TESTING:
[2025-10-31T16:07:17.489Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-31T16:07:17.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17619255785224/renaissance-movie-lens_0/launcher-160716-15326928940363847701/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-31T16:07:17.489Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-31T16:07:17.489Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-31T16:07:22.826Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-31T16:07:29.872Z] 16:07:28.741 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-31T16:07:31.379Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-31T16:07:32.113Z] Training: 60056, validation: 20285, test: 19854
[2025-10-31T16:07:32.113Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-31T16:07:32.113Z] GC before operation: completed in 133.108 ms, heap usage 184.282 MB -> 75.622 MB.
[2025-10-31T16:07:38.699Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:07:42.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:07:46.230Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:07:49.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:07:51.839Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:07:53.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:07:54.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:07:57.201Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:07:57.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:07:57.201Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:07:57.201Z] Top recommended movies for user id 72:
[2025-10-31T16:07:57.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:07:57.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:07:57.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:07:57.201Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:07:57.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:07:57.202Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25356.438 ms) ======
[2025-10-31T16:07:57.202Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-31T16:07:57.202Z] GC before operation: completed in 121.992 ms, heap usage 152.359 MB -> 87.328 MB.
[2025-10-31T16:08:00.458Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:08:03.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:08:06.044Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:08:09.299Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:08:10.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:08:12.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:08:14.309Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:08:15.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:08:15.832Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:08:15.832Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:08:16.556Z] Top recommended movies for user id 72:
[2025-10-31T16:08:16.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:08:16.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:08:16.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:08:16.556Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:08:16.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:08:16.556Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18660.315 ms) ======
[2025-10-31T16:08:16.556Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-31T16:08:16.556Z] GC before operation: completed in 109.193 ms, heap usage 401.250 MB -> 88.715 MB.
[2025-10-31T16:08:18.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:08:22.158Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:08:24.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:08:27.760Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:08:29.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:08:30.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:08:32.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:08:34.621Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:08:34.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:08:34.621Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:08:34.621Z] Top recommended movies for user id 72:
[2025-10-31T16:08:34.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:08:34.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:08:34.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:08:34.621Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:08:34.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:08:34.621Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18341.565 ms) ======
[2025-10-31T16:08:34.621Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-31T16:08:34.621Z] GC before operation: completed in 125.092 ms, heap usage 146.156 MB -> 89.073 MB.
[2025-10-31T16:08:37.879Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:08:40.218Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:08:42.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:08:44.990Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:08:46.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:08:48.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:08:49.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:08:51.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:08:51.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:08:51.021Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:08:51.021Z] Top recommended movies for user id 72:
[2025-10-31T16:08:51.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:08:51.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:08:51.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:08:51.021Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:08:51.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:08:51.021Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16551.004 ms) ======
[2025-10-31T16:08:51.021Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-31T16:08:51.745Z] GC before operation: completed in 125.551 ms, heap usage 522.752 MB -> 89.922 MB.
[2025-10-31T16:08:54.083Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:08:56.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:08:59.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:09:01.592Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:09:03.096Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:09:04.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:09:06.096Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:09:07.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:09:07.610Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:09:07.610Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:09:07.610Z] Top recommended movies for user id 72:
[2025-10-31T16:09:07.610Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:09:07.610Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:09:07.610Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:09:07.610Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:09:07.610Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:09:07.610Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16145.813 ms) ======
[2025-10-31T16:09:07.610Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-31T16:09:07.610Z] GC before operation: completed in 142.121 ms, heap usage 692.064 MB -> 93.192 MB.
[2025-10-31T16:09:09.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:09:12.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:09:14.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:09:17.113Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:09:18.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:09:20.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:09:21.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:09:23.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:09:23.138Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:09:23.942Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:09:23.942Z] Top recommended movies for user id 72:
[2025-10-31T16:09:23.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:09:23.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:09:23.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:09:23.942Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:09:23.942Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:09:23.942Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15881.625 ms) ======
[2025-10-31T16:09:23.942Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-31T16:09:23.942Z] GC before operation: completed in 123.025 ms, heap usage 518.646 MB -> 90.104 MB.
[2025-10-31T16:09:26.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:09:28.624Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:09:30.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:09:33.307Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:09:35.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:09:36.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:09:38.295Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:09:39.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:09:39.801Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:09:39.801Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:09:39.801Z] Top recommended movies for user id 72:
[2025-10-31T16:09:39.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:09:39.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:09:39.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:09:39.801Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:09:39.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:09:39.802Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16013.834 ms) ======
[2025-10-31T16:09:39.802Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-31T16:09:39.802Z] GC before operation: completed in 119.474 ms, heap usage 406.434 MB -> 89.904 MB.
[2025-10-31T16:09:42.148Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:09:44.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:09:46.940Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:09:49.280Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:09:50.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:09:52.290Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:09:53.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:09:55.298Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:09:55.298Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:09:55.298Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:09:56.175Z] Top recommended movies for user id 72:
[2025-10-31T16:09:56.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:09:56.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:09:56.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:09:56.175Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:09:56.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:09:56.175Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15842.101 ms) ======
[2025-10-31T16:09:56.175Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-31T16:09:56.175Z] GC before operation: completed in 127.249 ms, heap usage 370.516 MB -> 90.120 MB.
[2025-10-31T16:09:58.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:10:00.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:10:03.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:10:05.568Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:10:07.068Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:10:07.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:10:09.303Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:10:10.815Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:10:10.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:10:11.538Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:10:11.538Z] Top recommended movies for user id 72:
[2025-10-31T16:10:11.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:10:11.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:10:11.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:10:11.538Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:10:11.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:10:11.538Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15490.868 ms) ======
[2025-10-31T16:10:11.538Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-31T16:10:11.538Z] GC before operation: completed in 112.372 ms, heap usage 189.534 MB -> 89.725 MB.
[2025-10-31T16:10:13.949Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:10:16.770Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:10:19.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:10:21.441Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:10:22.945Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:10:24.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:10:25.955Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:10:27.457Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:10:27.457Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:10:27.457Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:10:27.457Z] Top recommended movies for user id 72:
[2025-10-31T16:10:27.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:10:27.457Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:10:27.457Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:10:27.457Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:10:27.457Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:10:27.457Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16011.592 ms) ======
[2025-10-31T16:10:27.457Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-31T16:10:27.457Z] GC before operation: completed in 114.854 ms, heap usage 218.631 MB -> 89.956 MB.
[2025-10-31T16:10:29.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:10:32.135Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:10:34.473Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:10:36.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:10:38.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:10:39.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:10:40.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:10:42.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:10:42.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:10:42.791Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:10:42.791Z] Top recommended movies for user id 72:
[2025-10-31T16:10:42.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:10:42.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:10:42.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:10:42.791Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:10:42.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:10:42.791Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14963.202 ms) ======
[2025-10-31T16:10:42.791Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-31T16:10:42.791Z] GC before operation: completed in 130.037 ms, heap usage 373.727 MB -> 89.942 MB.
[2025-10-31T16:10:45.133Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:10:47.472Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:10:49.814Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:10:52.156Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:10:53.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:10:54.391Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:10:56.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:10:57.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:10:58.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:10:58.371Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:10:58.371Z] Top recommended movies for user id 72:
[2025-10-31T16:10:58.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:10:58.371Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:10:58.371Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:10:58.371Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:10:58.371Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:10:58.371Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15384.519 ms) ======
[2025-10-31T16:10:58.371Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-31T16:10:58.371Z] GC before operation: completed in 111.260 ms, heap usage 104.948 MB -> 89.847 MB.
[2025-10-31T16:11:01.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:11:03.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:11:05.758Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:11:08.098Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:11:09.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:11:11.101Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:11:12.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:11:13.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:11:14.142Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:11:14.142Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:11:14.142Z] Top recommended movies for user id 72:
[2025-10-31T16:11:14.142Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:11:14.142Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:11:14.142Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:11:14.142Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:11:14.142Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:11:14.142Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15807.706 ms) ======
[2025-10-31T16:11:14.142Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-31T16:11:14.142Z] GC before operation: completed in 111.691 ms, heap usage 195.993 MB -> 90.066 MB.
[2025-10-31T16:11:16.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:11:18.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:11:22.211Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:11:24.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:11:26.057Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:11:27.567Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:11:29.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:11:29.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:11:31.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:11:31.180Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:11:31.909Z] Top recommended movies for user id 72:
[2025-10-31T16:11:31.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:11:31.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:11:31.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:11:31.909Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:11:31.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:11:31.909Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16233.985 ms) ======
[2025-10-31T16:11:31.909Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-31T16:11:31.909Z] GC before operation: completed in 118.429 ms, heap usage 270.560 MB -> 89.953 MB.
[2025-10-31T16:11:38.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:11:49.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:11:51.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:11:53.257Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:11:54.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:11:56.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:11:57.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:11:59.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:11:59.291Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:11:59.291Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:11:59.291Z] Top recommended movies for user id 72:
[2025-10-31T16:11:59.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:11:59.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:11:59.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:11:59.291Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:11:59.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:11:59.291Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28784.811 ms) ======
[2025-10-31T16:11:59.291Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-31T16:11:59.291Z] GC before operation: completed in 127.520 ms, heap usage 196.235 MB -> 90.055 MB.
[2025-10-31T16:12:01.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:12:03.966Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:12:06.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:12:08.660Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:12:09.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:12:10.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:12:12.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:12:13.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:12:13.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:12:13.932Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:12:13.932Z] Top recommended movies for user id 72:
[2025-10-31T16:12:13.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:12:13.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:12:13.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:12:13.932Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:12:13.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:12:13.932Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14695.153 ms) ======
[2025-10-31T16:12:13.932Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-31T16:12:13.932Z] GC before operation: completed in 118.654 ms, heap usage 512.614 MB -> 90.423 MB.
[2025-10-31T16:12:16.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:12:18.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:12:20.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:12:23.343Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:12:24.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:12:26.363Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:12:27.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:12:29.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:12:29.847Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:12:29.847Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:12:29.847Z] Top recommended movies for user id 72:
[2025-10-31T16:12:29.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:12:29.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:12:29.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:12:29.847Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:12:29.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:12:29.847Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15464.853 ms) ======
[2025-10-31T16:12:29.847Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-31T16:12:29.847Z] GC before operation: completed in 118.342 ms, heap usage 375.360 MB -> 90.246 MB.
[2025-10-31T16:12:32.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:12:34.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:12:36.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:12:39.230Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:12:40.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:12:42.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:12:43.753Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:12:45.259Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:12:45.259Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:12:45.259Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:12:45.985Z] Top recommended movies for user id 72:
[2025-10-31T16:12:45.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:12:45.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:12:45.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:12:45.985Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:12:45.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:12:45.985Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16043.513 ms) ======
[2025-10-31T16:12:45.985Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-31T16:12:45.985Z] GC before operation: completed in 116.437 ms, heap usage 369.467 MB -> 90.184 MB.
[2025-10-31T16:12:48.337Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:12:50.677Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:12:53.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:12:55.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:12:56.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:12:58.464Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:12:59.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:13:01.481Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:13:01.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:13:01.481Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:13:01.481Z] Top recommended movies for user id 72:
[2025-10-31T16:13:01.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:13:01.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:13:01.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:13:01.481Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:13:01.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:13:01.481Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15784.123 ms) ======
[2025-10-31T16:13:01.481Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-31T16:13:01.481Z] GC before operation: completed in 117.704 ms, heap usage 101.157 MB -> 89.756 MB.
[2025-10-31T16:13:03.829Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-31T16:13:06.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-31T16:13:09.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-31T16:13:10.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-31T16:13:12.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-31T16:13:14.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-31T16:13:15.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-31T16:13:17.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-31T16:13:17.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-31T16:13:17.036Z] The best model improves the baseline by 14.52%.
[2025-10-31T16:13:17.036Z] Top recommended movies for user id 72:
[2025-10-31T16:13:17.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-31T16:13:17.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-31T16:13:17.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-31T16:13:17.036Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-31T16:13:17.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-31T16:13:17.036Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15347.252 ms) ======
[2025-10-31T16:13:17.763Z] -----------------------------------
[2025-10-31T16:13:17.763Z] renaissance-movie-lens_0_PASSED
[2025-10-31T16:13:17.763Z] -----------------------------------
[2025-10-31T16:13:17.763Z]
[2025-10-31T16:13:17.763Z] TEST TEARDOWN:
[2025-10-31T16:13:17.763Z] Nothing to be done for teardown.
[2025-10-31T16:13:17.763Z] renaissance-movie-lens_0 Finish Time: Fri Oct 31 16:13:17 2025 Epoch Time (ms): 1761927197204