renaissance-movie-lens_0
[2025-06-08T09:30:04.280Z] Running test renaissance-movie-lens_0 ...
[2025-06-08T09:30:04.280Z] ===============================================
[2025-06-08T09:30:04.280Z] renaissance-movie-lens_0 Start Time: Sun Jun 8 09:30:03 2025 Epoch Time (ms): 1749375003539
[2025-06-08T09:30:04.280Z] variation: NoOptions
[2025-06-08T09:30:04.280Z] JVM_OPTIONS:
[2025-06-08T09:30:04.280Z] { \
[2025-06-08T09:30:04.280Z] echo ""; echo "TEST SETUP:"; \
[2025-06-08T09:30:04.280Z] echo "Nothing to be done for setup."; \
[2025-06-08T09:30:04.280Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17493697211068/renaissance-movie-lens_0"; \
[2025-06-08T09:30:04.280Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17493697211068/renaissance-movie-lens_0"; \
[2025-06-08T09:30:04.280Z] echo ""; echo "TESTING:"; \
[2025-06-08T09:30:04.280Z] "/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_17493697211068/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-08T09:30:04.280Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17493697211068/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-08T09:30:04.280Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-08T09:30:04.280Z] echo "Nothing to be done for teardown."; \
[2025-06-08T09:30:04.280Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17493697211068/TestTargetResult";
[2025-06-08T09:30:04.280Z]
[2025-06-08T09:30:04.280Z] TEST SETUP:
[2025-06-08T09:30:04.280Z] Nothing to be done for setup.
[2025-06-08T09:30:04.280Z]
[2025-06-08T09:30:04.280Z] TESTING:
[2025-06-08T09:30:05.064Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-08T09:30:05.064Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17493697211068/renaissance-movie-lens_0/launcher-093003-1964358302169970121/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-08T09:30:05.064Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-08T09:30:05.065Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-08T09:30:18.839Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-08T09:30:41.070Z] 09:30:39.265 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-06-08T09:30:48.481Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-08T09:30:50.960Z] Training: 60056, validation: 20285, test: 19854
[2025-06-08T09:30:50.960Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-08T09:30:50.960Z] GC before operation: completed in 521.810 ms, heap usage 296.542 MB -> 75.601 MB.
[2025-06-08T09:31:16.963Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:31:30.906Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:31:44.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:31:55.389Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:32:02.429Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:32:09.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:32:15.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:32:20.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:32:22.393Z] 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.
[2025-06-08T09:32:22.393Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:32:23.170Z] Top recommended movies for user id 72:
[2025-06-08T09:32:23.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:32:23.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:32:23.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:32:23.170Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:32:23.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:32:23.170Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (91997.914 ms) ======
[2025-06-08T09:32:23.170Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-08T09:32:23.951Z] GC before operation: completed in 526.890 ms, heap usage 426.039 MB -> 89.390 MB.
[2025-06-08T09:32:33.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:32:44.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:32:52.740Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:33:01.089Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:33:05.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:33:11.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:33:16.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:33:21.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:33:21.346Z] 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.
[2025-06-08T09:33:22.125Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:33:22.125Z] Top recommended movies for user id 72:
[2025-06-08T09:33:22.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:33:22.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:33:22.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:33:22.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:33:22.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:33:22.125Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (58706.687 ms) ======
[2025-06-08T09:33:22.125Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-08T09:33:22.903Z] GC before operation: completed in 473.092 ms, heap usage 232.972 MB -> 88.336 MB.
[2025-06-08T09:33:31.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:33:41.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:33:49.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:33:57.981Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:34:01.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:34:07.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:34:10.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:34:16.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:34:16.970Z] 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.
[2025-06-08T09:34:16.970Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:34:17.749Z] Top recommended movies for user id 72:
[2025-06-08T09:34:17.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:34:17.749Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:34:17.749Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:34:17.749Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:34:17.749Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:34:17.749Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (54997.812 ms) ======
[2025-06-08T09:34:17.749Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-08T09:34:18.525Z] GC before operation: completed in 557.829 ms, heap usage 177.165 MB -> 88.854 MB.
[2025-06-08T09:34:29.025Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:34:39.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:34:52.963Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:34:59.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:35:06.829Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:35:12.544Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:35:19.841Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:35:25.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:35:26.359Z] 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.
[2025-06-08T09:35:26.359Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:35:27.131Z] Top recommended movies for user id 72:
[2025-06-08T09:35:27.131Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:35:27.131Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:35:27.131Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:35:27.131Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:35:27.131Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:35:27.131Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (68509.347 ms) ======
[2025-06-08T09:35:27.131Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-08T09:35:27.131Z] GC before operation: completed in 536.546 ms, heap usage 299.669 MB -> 89.629 MB.
[2025-06-08T09:35:37.142Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:35:47.151Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:35:58.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:36:10.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:36:14.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:36:21.744Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:36:27.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:36:33.022Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:36:33.800Z] 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.
[2025-06-08T09:36:33.800Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:36:34.574Z] Top recommended movies for user id 72:
[2025-06-08T09:36:34.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:36:34.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:36:34.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:36:34.574Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:36:34.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:36:34.574Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (66854.157 ms) ======
[2025-06-08T09:36:34.574Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-08T09:36:34.574Z] GC before operation: completed in 534.237 ms, heap usage 252.217 MB -> 89.176 MB.
[2025-06-08T09:36:46.509Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:36:54.841Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:37:03.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:37:12.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:37:16.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:37:22.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:37:28.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:37:32.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:37:33.507Z] 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.
[2025-06-08T09:37:33.507Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:37:34.298Z] Top recommended movies for user id 72:
[2025-06-08T09:37:34.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:37:34.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:37:34.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:37:34.299Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:37:34.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:37:34.299Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (59522.229 ms) ======
[2025-06-08T09:37:34.299Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-08T09:37:35.170Z] GC before operation: completed in 583.806 ms, heap usage 313.698 MB -> 89.627 MB.
[2025-06-08T09:37:43.556Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:37:54.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:38:04.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:38:12.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:38:18.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:38:22.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:38:27.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:38:31.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:38:31.718Z] 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.
[2025-06-08T09:38:31.718Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:38:32.493Z] Top recommended movies for user id 72:
[2025-06-08T09:38:32.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:38:32.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:38:32.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:38:32.493Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:38:32.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:38:32.493Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (57685.881 ms) ======
[2025-06-08T09:38:32.493Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-08T09:38:33.274Z] GC before operation: completed in 481.588 ms, heap usage 122.651 MB -> 89.409 MB.
[2025-06-08T09:38:40.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:38:49.231Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:38:59.156Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:39:06.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:39:10.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:39:14.213Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:39:18.720Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:39:23.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:39:24.013Z] 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.
[2025-06-08T09:39:24.013Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:39:24.013Z] Top recommended movies for user id 72:
[2025-06-08T09:39:24.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:39:24.013Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:39:24.013Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:39:24.013Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:39:24.013Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:39:24.013Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51309.027 ms) ======
[2025-06-08T09:39:24.013Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-08T09:39:24.800Z] GC before operation: completed in 524.294 ms, heap usage 301.562 MB -> 89.809 MB.
[2025-06-08T09:39:33.203Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:39:41.901Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:39:50.355Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:39:58.721Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:40:03.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:40:07.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:40:13.355Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:40:19.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:40:19.788Z] 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.
[2025-06-08T09:40:19.788Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:40:20.568Z] Top recommended movies for user id 72:
[2025-06-08T09:40:20.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:40:20.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:40:20.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:40:20.568Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:40:20.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:40:20.568Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (55519.466 ms) ======
[2025-06-08T09:40:20.568Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-08T09:40:20.568Z] GC before operation: completed in 358.126 ms, heap usage 170.764 MB -> 89.432 MB.
[2025-06-08T09:40:29.047Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:40:37.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:40:44.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:40:51.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:40:56.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:41:01.371Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:41:05.860Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:41:10.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:41:11.145Z] 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.
[2025-06-08T09:41:11.921Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:41:11.921Z] Top recommended movies for user id 72:
[2025-06-08T09:41:11.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:41:11.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:41:11.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:41:11.921Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:41:11.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:41:11.921Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51391.431 ms) ======
[2025-06-08T09:41:11.921Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-08T09:41:13.226Z] GC before operation: completed in 447.690 ms, heap usage 288.735 MB -> 89.830 MB.
[2025-06-08T09:41:20.152Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:41:28.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:41:35.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:41:43.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:41:48.480Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:41:54.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:41:58.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:42:03.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:42:04.781Z] 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.
[2025-06-08T09:42:04.781Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:42:05.582Z] Top recommended movies for user id 72:
[2025-06-08T09:42:05.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:42:05.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:42:05.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:42:05.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:42:05.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:42:05.582Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52980.611 ms) ======
[2025-06-08T09:42:05.582Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-08T09:42:06.374Z] GC before operation: completed in 459.357 ms, heap usage 311.315 MB -> 89.584 MB.
[2025-06-08T09:42:13.546Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:42:22.215Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:42:29.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:42:35.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:42:40.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:42:46.381Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:42:51.197Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:42:56.576Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:42:56.576Z] 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.
[2025-06-08T09:42:56.576Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:42:59.915Z] Top recommended movies for user id 72:
[2025-06-08T09:42:59.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:42:59.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:42:59.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:42:59.916Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:42:59.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:42:59.916Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51146.385 ms) ======
[2025-06-08T09:42:59.916Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-08T09:43:01.571Z] GC before operation: completed in 309.230 ms, heap usage 261.014 MB -> 89.806 MB.
[2025-06-08T09:43:12.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:43:24.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:43:31.601Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:43:40.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:43:45.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:43:52.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:43:56.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:44:01.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:44:03.390Z] 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.
[2025-06-08T09:44:03.390Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:44:03.390Z] Top recommended movies for user id 72:
[2025-06-08T09:44:03.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:44:03.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:44:03.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:44:03.390Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:44:03.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:44:03.390Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (65990.685 ms) ======
[2025-06-08T09:44:03.390Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-08T09:44:04.213Z] GC before operation: completed in 471.105 ms, heap usage 159.949 MB -> 89.920 MB.
[2025-06-08T09:44:12.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:44:21.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:44:32.131Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:44:39.479Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:44:44.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:44:48.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:44:54.447Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:44:59.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:45:00.086Z] 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.
[2025-06-08T09:45:00.086Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:45:00.086Z] Top recommended movies for user id 72:
[2025-06-08T09:45:00.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:45:00.086Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:45:00.086Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:45:00.086Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:45:00.086Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:45:00.086Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (56329.962 ms) ======
[2025-06-08T09:45:00.086Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-08T09:45:00.926Z] GC before operation: completed in 483.669 ms, heap usage 441.527 MB -> 89.926 MB.
[2025-06-08T09:45:08.262Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:45:17.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:45:24.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:45:31.648Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:45:36.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:45:40.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:45:44.313Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:45:47.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:45:48.807Z] 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.
[2025-06-08T09:45:48.807Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:45:49.659Z] Top recommended movies for user id 72:
[2025-06-08T09:45:49.659Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:45:49.659Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:45:49.659Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:45:49.659Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:45:49.659Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:45:49.659Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (48439.365 ms) ======
[2025-06-08T09:45:49.659Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-08T09:45:49.659Z] GC before operation: completed in 351.945 ms, heap usage 223.798 MB -> 89.843 MB.
[2025-06-08T09:45:55.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:46:02.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:46:10.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:46:16.378Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:46:20.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:46:23.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:46:29.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:46:33.948Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:46:34.775Z] 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.
[2025-06-08T09:46:34.775Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:46:34.775Z] Top recommended movies for user id 72:
[2025-06-08T09:46:34.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:46:34.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:46:34.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:46:34.775Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:46:34.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:46:34.775Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45395.174 ms) ======
[2025-06-08T09:46:34.775Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-08T09:46:35.638Z] GC before operation: completed in 454.691 ms, heap usage 220.375 MB -> 89.695 MB.
[2025-06-08T09:46:42.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:46:49.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:46:56.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:47:03.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:47:07.364Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:47:11.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:47:15.986Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:47:20.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:47:20.034Z] 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.
[2025-06-08T09:47:20.034Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:47:20.865Z] Top recommended movies for user id 72:
[2025-06-08T09:47:20.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:47:20.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:47:20.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:47:20.865Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:47:20.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:47:20.865Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45190.432 ms) ======
[2025-06-08T09:47:20.865Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-08T09:47:20.865Z] GC before operation: completed in 310.913 ms, heap usage 225.295 MB -> 89.918 MB.
[2025-06-08T09:47:26.853Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:47:31.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:47:37.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:47:42.471Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:47:46.141Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:47:50.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:47:55.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:48:00.534Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:48:01.367Z] 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.
[2025-06-08T09:48:01.367Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:48:01.367Z] Top recommended movies for user id 72:
[2025-06-08T09:48:01.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:48:01.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:48:01.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:48:01.367Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:48:01.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:48:01.367Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (40403.485 ms) ======
[2025-06-08T09:48:01.367Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-08T09:48:02.200Z] GC before operation: completed in 432.809 ms, heap usage 516.909 MB -> 90.148 MB.
[2025-06-08T09:48:09.816Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:48:17.126Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:48:24.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:48:30.384Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:48:35.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:48:38.961Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:48:42.641Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:48:46.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:48:47.182Z] 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.
[2025-06-08T09:48:47.182Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:48:48.019Z] Top recommended movies for user id 72:
[2025-06-08T09:48:48.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:48:48.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:48:48.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:48:48.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:48:48.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:48:48.019Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45957.392 ms) ======
[2025-06-08T09:48:48.019Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-08T09:48:48.019Z] GC before operation: completed in 399.271 ms, heap usage 363.521 MB -> 90.082 MB.
[2025-06-08T09:48:54.562Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-08T09:49:00.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-08T09:49:06.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-08T09:49:12.603Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-08T09:49:16.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-08T09:49:21.104Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-08T09:49:25.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-08T09:49:30.733Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-08T09:49:30.733Z] 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.
[2025-06-08T09:49:30.733Z] The best model improves the baseline by 14.52%.
[2025-06-08T09:49:31.571Z] Top recommended movies for user id 72:
[2025-06-08T09:49:31.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-08T09:49:31.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-08T09:49:31.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-08T09:49:31.571Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-08T09:49:31.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-08T09:49:31.571Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (43135.358 ms) ======
[2025-06-08T09:49:32.399Z] -----------------------------------
[2025-06-08T09:49:32.399Z] renaissance-movie-lens_0_PASSED
[2025-06-08T09:49:32.399Z] -----------------------------------
[2025-06-08T09:49:32.399Z]
[2025-06-08T09:49:32.399Z] TEST TEARDOWN:
[2025-06-08T09:49:32.399Z] Nothing to be done for teardown.
[2025-06-08T09:49:32.399Z] renaissance-movie-lens_0 Finish Time: Sun Jun 8 09:49:32 2025 Epoch Time (ms): 1749376172254