[2025-08-01T22:04:50.901Z] Running test renaissance-movie-lens_0 ... [2025-08-01T22:04:50.901Z] =============================================== [2025-08-01T22:04:50.901Z] renaissance-movie-lens_0 Start Time: Fri Aug 1 22:04:49 2025 Epoch Time (ms): 1754085889901 [2025-08-01T22:04:50.901Z] variation: NoOptions [2025-08-01T22:04:50.901Z] JVM_OPTIONS: [2025-08-01T22:04:50.901Z] { \ [2025-08-01T22:04:50.901Z] echo ""; echo "TEST SETUP:"; \ [2025-08-01T22:04:50.901Z] echo "Nothing to be done for setup."; \ [2025-08-01T22:04:50.901Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17540842121046/renaissance-movie-lens_0"; \ [2025-08-01T22:04:50.901Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17540842121046/renaissance-movie-lens_0"; \ [2025-08-01T22:04:50.901Z] echo ""; echo "TESTING:"; \ [2025-08-01T22:04:50.901Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17540842121046/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-01T22:04:50.901Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17540842121046/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-01T22:04:50.901Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-01T22:04:50.901Z] echo "Nothing to be done for teardown."; \ [2025-08-01T22:04:50.901Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17540842121046/TestTargetResult"; [2025-08-01T22:04:50.901Z] [2025-08-01T22:04:50.901Z] TEST SETUP: [2025-08-01T22:04:50.901Z] Nothing to be done for setup. [2025-08-01T22:04:50.901Z] [2025-08-01T22:04:50.901Z] TESTING: [2025-08-01T22:04:57.549Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-01T22:05:05.644Z] 22:05:04.203 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-01T22:05:07.589Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-01T22:05:07.589Z] Training: 60056, validation: 20285, test: 19854 [2025-08-01T22:05:07.589Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-01T22:05:07.589Z] GC before operation: completed in 211.302 ms, heap usage 267.651 MB -> 74.425 MB. [2025-08-01T22:05:15.718Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:05:18.794Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:05:22.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:05:25.914Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:05:27.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:05:30.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:05:32.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:05:34.756Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:05:34.756Z] 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. [2025-08-01T22:05:35.702Z] The best model improves the baseline by 14.52%. [2025-08-01T22:05:35.702Z] Top recommended movies for user id 72: [2025-08-01T22:05:35.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:05:35.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:05:35.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:05:35.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:05:35.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:05:35.702Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27644.601 ms) ====== [2025-08-01T22:05:35.702Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-01T22:05:35.702Z] GC before operation: completed in 191.437 ms, heap usage 217.372 MB -> 85.391 MB. [2025-08-01T22:05:39.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:05:42.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:05:45.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:05:49.971Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:05:51.916Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:05:53.867Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:05:55.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:05:57.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:05:57.752Z] 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. [2025-08-01T22:05:57.752Z] The best model improves the baseline by 14.52%. [2025-08-01T22:05:58.701Z] Top recommended movies for user id 72: [2025-08-01T22:05:58.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:05:58.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:05:58.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:05:58.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:05:58.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:05:58.701Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22433.751 ms) ====== [2025-08-01T22:05:58.701Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-01T22:05:58.701Z] GC before operation: completed in 205.116 ms, heap usage 412.889 MB -> 87.741 MB. [2025-08-01T22:06:01.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:06:04.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:06:08.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:06:11.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:06:13.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:06:15.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:06:17.092Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:06:20.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:06:20.093Z] 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. [2025-08-01T22:06:20.093Z] The best model improves the baseline by 14.52%. [2025-08-01T22:06:20.093Z] Top recommended movies for user id 72: [2025-08-01T22:06:20.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:06:20.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:06:20.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:06:20.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:06:20.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:06:20.093Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21647.705 ms) ====== [2025-08-01T22:06:20.093Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-01T22:06:20.093Z] GC before operation: completed in 184.338 ms, heap usage 399.823 MB -> 88.383 MB. [2025-08-01T22:06:23.089Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:06:27.217Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:06:30.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:06:33.218Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:06:35.157Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:06:37.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:06:39.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:06:41.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:06:41.153Z] 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. [2025-08-01T22:06:41.153Z] The best model improves the baseline by 14.52%. [2025-08-01T22:06:42.098Z] Top recommended movies for user id 72: [2025-08-01T22:06:42.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:06:42.098Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:06:42.098Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:06:42.098Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:06:42.098Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:06:42.098Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21484.007 ms) ====== [2025-08-01T22:06:42.098Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-01T22:06:42.098Z] GC before operation: completed in 181.539 ms, heap usage 477.881 MB -> 88.765 MB. [2025-08-01T22:06:45.097Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:06:48.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:06:52.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:06:55.221Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:06:57.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:06:59.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:07:01.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:07:03.159Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:07:03.159Z] 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. [2025-08-01T22:07:03.159Z] The best model improves the baseline by 14.52%. [2025-08-01T22:07:03.159Z] Top recommended movies for user id 72: [2025-08-01T22:07:03.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:07:03.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:07:03.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:07:03.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:07:03.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:07:03.159Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21489.737 ms) ====== [2025-08-01T22:07:03.159Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-01T22:07:03.159Z] GC before operation: completed in 187.660 ms, heap usage 454.304 MB -> 88.654 MB. [2025-08-01T22:07:07.283Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:07:10.278Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:07:13.276Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:07:16.267Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:07:18.207Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:07:20.152Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:07:22.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:07:24.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:07:24.028Z] 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. [2025-08-01T22:07:24.971Z] The best model improves the baseline by 14.52%. [2025-08-01T22:07:24.971Z] Top recommended movies for user id 72: [2025-08-01T22:07:24.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:07:24.971Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:07:24.971Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:07:24.971Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:07:24.971Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:07:24.971Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21077.224 ms) ====== [2025-08-01T22:07:24.971Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-01T22:07:24.971Z] GC before operation: completed in 184.610 ms, heap usage 397.881 MB -> 88.899 MB. [2025-08-01T22:07:27.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:07:30.973Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:07:33.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:07:36.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:07:38.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:07:40.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:07:42.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:07:44.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:07:44.881Z] 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. [2025-08-01T22:07:44.881Z] The best model improves the baseline by 14.52%. [2025-08-01T22:07:44.881Z] Top recommended movies for user id 72: [2025-08-01T22:07:44.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:07:44.881Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:07:44.881Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:07:44.881Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:07:44.881Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:07:44.881Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20113.769 ms) ====== [2025-08-01T22:07:44.881Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-01T22:07:44.881Z] GC before operation: completed in 170.645 ms, heap usage 384.383 MB -> 88.839 MB. [2025-08-01T22:07:47.917Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:07:50.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:07:55.031Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:07:58.034Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:07:58.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:08:01.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:08:02.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:08:04.873Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:08:05.822Z] 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. [2025-08-01T22:08:05.822Z] The best model improves the baseline by 14.52%. [2025-08-01T22:08:05.822Z] Top recommended movies for user id 72: [2025-08-01T22:08:05.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:08:05.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:08:05.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:08:05.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:08:05.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:08:05.822Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20557.575 ms) ====== [2025-08-01T22:08:05.822Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-01T22:08:05.822Z] GC before operation: completed in 162.664 ms, heap usage 404.401 MB -> 89.058 MB. [2025-08-01T22:08:08.868Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:08:11.863Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:08:14.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:08:17.862Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:08:20.964Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:08:22.125Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:08:24.081Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:08:26.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:08:26.020Z] 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. [2025-08-01T22:08:26.020Z] The best model improves the baseline by 14.52%. [2025-08-01T22:08:26.020Z] Top recommended movies for user id 72: [2025-08-01T22:08:26.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:08:26.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:08:26.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:08:26.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:08:26.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:08:26.020Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20330.915 ms) ====== [2025-08-01T22:08:26.020Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-01T22:08:26.020Z] GC before operation: completed in 205.497 ms, heap usage 475.084 MB -> 89.015 MB. [2025-08-01T22:08:29.020Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:08:32.012Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:08:36.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:08:39.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:08:41.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:08:43.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:08:45.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:08:46.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:08:46.660Z] 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. [2025-08-01T22:08:47.608Z] The best model improves the baseline by 14.52%. [2025-08-01T22:08:47.608Z] Top recommended movies for user id 72: [2025-08-01T22:08:47.608Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:08:47.608Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:08:47.608Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:08:47.608Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:08:47.608Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:08:47.608Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20922.842 ms) ====== [2025-08-01T22:08:47.608Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-01T22:08:47.608Z] GC before operation: completed in 191.789 ms, heap usage 416.996 MB -> 89.127 MB. [2025-08-01T22:08:50.605Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:08:53.602Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:08:57.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:08:59.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:09:01.638Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:09:03.579Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:09:05.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:09:08.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:09:08.516Z] 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. [2025-08-01T22:09:08.516Z] The best model improves the baseline by 14.52%. [2025-08-01T22:09:08.516Z] Top recommended movies for user id 72: [2025-08-01T22:09:08.516Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:09:08.516Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:09:08.516Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:09:08.516Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:09:08.516Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:09:08.516Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20990.207 ms) ====== [2025-08-01T22:09:08.516Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-01T22:09:08.516Z] GC before operation: completed in 209.036 ms, heap usage 473.062 MB -> 88.952 MB. [2025-08-01T22:09:11.512Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:09:14.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:09:18.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:09:21.643Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:09:23.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:09:25.540Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:09:27.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:09:29.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:09:29.421Z] 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. [2025-08-01T22:09:29.421Z] The best model improves the baseline by 14.52%. [2025-08-01T22:09:29.421Z] Top recommended movies for user id 72: [2025-08-01T22:09:29.421Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:09:29.421Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:09:29.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:09:29.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:09:29.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:09:29.422Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21095.109 ms) ====== [2025-08-01T22:09:29.422Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-01T22:09:30.366Z] GC before operation: completed in 194.635 ms, heap usage 419.017 MB -> 89.090 MB. [2025-08-01T22:09:33.380Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:09:36.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:09:39.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:09:42.383Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:09:44.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:09:46.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:09:48.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:09:50.155Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:09:50.155Z] 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. [2025-08-01T22:09:50.155Z] The best model improves the baseline by 14.52%. [2025-08-01T22:09:51.103Z] Top recommended movies for user id 72: [2025-08-01T22:09:51.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:09:51.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:09:51.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:09:51.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:09:51.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:09:51.103Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20691.128 ms) ====== [2025-08-01T22:09:51.103Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-01T22:09:51.103Z] GC before operation: completed in 197.229 ms, heap usage 388.320 MB -> 89.205 MB. [2025-08-01T22:09:53.964Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:09:56.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:09:59.964Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:10:02.962Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:10:04.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:10:06.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:10:08.784Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:10:10.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:10:10.725Z] 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. [2025-08-01T22:10:10.725Z] The best model improves the baseline by 14.52%. [2025-08-01T22:10:11.670Z] Top recommended movies for user id 72: [2025-08-01T22:10:11.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:10:11.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:10:11.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:10:11.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:10:11.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:10:11.670Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20425.546 ms) ====== [2025-08-01T22:10:11.670Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-01T22:10:11.670Z] GC before operation: completed in 187.267 ms, heap usage 191.177 MB -> 88.774 MB. [2025-08-01T22:10:14.663Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:10:17.659Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:10:20.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:10:23.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:10:25.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:10:27.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:10:29.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:10:31.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:10:32.366Z] 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. [2025-08-01T22:10:32.366Z] The best model improves the baseline by 14.52%. [2025-08-01T22:10:32.366Z] Top recommended movies for user id 72: [2025-08-01T22:10:32.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:10:32.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:10:32.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:10:32.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:10:32.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:10:32.366Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20776.919 ms) ====== [2025-08-01T22:10:32.366Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-01T22:10:32.366Z] GC before operation: completed in 191.709 ms, heap usage 409.921 MB -> 89.256 MB. [2025-08-01T22:10:35.363Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:10:38.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:10:42.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:10:45.196Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:10:47.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:10:49.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:10:51.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:10:52.989Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:10:52.989Z] 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. [2025-08-01T22:10:52.989Z] The best model improves the baseline by 14.52%. [2025-08-01T22:10:52.989Z] Top recommended movies for user id 72: [2025-08-01T22:10:52.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:10:52.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:10:52.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:10:52.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:10:52.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:10:52.989Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20822.388 ms) ====== [2025-08-01T22:10:52.989Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-01T22:10:53.935Z] GC before operation: completed in 208.495 ms, heap usage 174.550 MB -> 88.795 MB. [2025-08-01T22:10:56.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:10:58.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:11:01.904Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:11:04.905Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:11:07.901Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:11:08.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:11:10.807Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:11:12.757Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:11:12.757Z] 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. [2025-08-01T22:11:12.757Z] The best model improves the baseline by 14.52%. [2025-08-01T22:11:13.719Z] Top recommended movies for user id 72: [2025-08-01T22:11:13.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:11:13.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:11:13.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:11:13.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:11:13.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:11:13.719Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19809.765 ms) ====== [2025-08-01T22:11:13.719Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-01T22:11:13.719Z] GC before operation: completed in 193.637 ms, heap usage 469.316 MB -> 89.232 MB. [2025-08-01T22:11:16.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:11:19.808Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:11:22.821Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:11:25.813Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:11:27.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:11:29.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:11:31.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:11:33.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:11:33.596Z] 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. [2025-08-01T22:11:33.596Z] The best model improves the baseline by 14.52%. [2025-08-01T22:11:33.596Z] Top recommended movies for user id 72: [2025-08-01T22:11:33.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:11:33.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:11:33.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:11:33.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:11:33.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:11:33.596Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20283.551 ms) ====== [2025-08-01T22:11:33.596Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-01T22:11:33.596Z] GC before operation: completed in 192.641 ms, heap usage 417.266 MB -> 88.971 MB. [2025-08-01T22:11:36.603Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:11:40.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:11:43.476Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:11:46.471Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:11:48.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:11:50.344Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:11:52.280Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:11:54.216Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:11:54.216Z] 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. [2025-08-01T22:11:54.216Z] The best model improves the baseline by 14.52%. [2025-08-01T22:11:54.216Z] Top recommended movies for user id 72: [2025-08-01T22:11:54.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:11:54.216Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:11:54.216Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:11:54.216Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:11:54.216Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:11:54.216Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20288.753 ms) ====== [2025-08-01T22:11:54.216Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-01T22:11:54.216Z] GC before operation: completed in 190.084 ms, heap usage 388.279 MB -> 89.097 MB. [2025-08-01T22:11:57.208Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-01T22:12:00.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-01T22:12:03.370Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-01T22:12:06.383Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-01T22:12:08.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-01T22:12:10.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-01T22:12:12.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-01T22:12:14.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-01T22:12:14.188Z] 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. [2025-08-01T22:12:14.188Z] The best model improves the baseline by 14.52%. [2025-08-01T22:12:15.132Z] Top recommended movies for user id 72: [2025-08-01T22:12:15.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-01T22:12:15.132Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-01T22:12:15.132Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-01T22:12:15.132Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-01T22:12:15.132Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-01T22:12:15.132Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20331.943 ms) ====== [2025-08-01T22:12:15.132Z] ----------------------------------- [2025-08-01T22:12:15.132Z] renaissance-movie-lens_0_PASSED [2025-08-01T22:12:15.132Z] ----------------------------------- [2025-08-01T22:12:15.132Z] [2025-08-01T22:12:15.132Z] TEST TEARDOWN: [2025-08-01T22:12:15.132Z] Nothing to be done for teardown. [2025-08-01T22:12:15.132Z] renaissance-movie-lens_0 Finish Time: Fri Aug 1 22:12:14 2025 Epoch Time (ms): 1754086334909