[2025-06-26T23:28:03.378Z] Running test renaissance-movie-lens_0 ... [2025-06-26T23:28:03.378Z] =============================================== [2025-06-26T23:28:03.378Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 23:28:03 2025 Epoch Time (ms): 1750980483044 [2025-06-26T23:28:03.378Z] variation: NoOptions [2025-06-26T23:28:03.378Z] JVM_OPTIONS: [2025-06-26T23:28:03.378Z] { \ [2025-06-26T23:28:03.378Z] echo ""; echo "TEST SETUP:"; \ [2025-06-26T23:28:03.378Z] echo "Nothing to be done for setup."; \ [2025-06-26T23:28:03.378Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17509790757672/renaissance-movie-lens_0"; \ [2025-06-26T23:28:03.378Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17509790757672/renaissance-movie-lens_0"; \ [2025-06-26T23:28:03.378Z] echo ""; echo "TESTING:"; \ [2025-06-26T23:28:03.378Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17509790757672/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-26T23:28:03.378Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17509790757672/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-26T23:28:03.378Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-26T23:28:03.378Z] echo "Nothing to be done for teardown."; \ [2025-06-26T23:28:03.378Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17509790757672/TestTargetResult"; [2025-06-26T23:28:03.378Z] [2025-06-26T23:28:03.378Z] TEST SETUP: [2025-06-26T23:28:03.378Z] Nothing to be done for setup. [2025-06-26T23:28:03.378Z] [2025-06-26T23:28:03.378Z] TESTING: [2025-06-26T23:28:09.804Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-26T23:28:15.179Z] 23:28:14.826 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-26T23:28:17.133Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-26T23:28:18.085Z] Training: 60056, validation: 20285, test: 19854 [2025-06-26T23:28:18.085Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-26T23:28:18.085Z] GC before operation: completed in 146.874 ms, heap usage 265.527 MB -> 75.939 MB. [2025-06-26T23:28:23.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:28:26.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:28:29.718Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:28:32.731Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:28:33.681Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:28:35.641Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:28:37.594Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:28:39.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:28:39.585Z] 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. [2025-06-26T23:28:39.585Z] The best model improves the baseline by 14.52%. [2025-06-26T23:28:39.585Z] Top recommended movies for user id 72: [2025-06-26T23:28:39.585Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:28:39.585Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:28:39.585Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:28:39.585Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:28:39.585Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:28:39.585Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21801.646 ms) ====== [2025-06-26T23:28:39.585Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-26T23:28:39.585Z] GC before operation: completed in 139.140 ms, heap usage 441.240 MB -> 94.059 MB. [2025-06-26T23:28:42.608Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:28:44.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:28:47.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:28:49.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:28:51.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:28:53.560Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:28:54.512Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:28:56.475Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:28:56.475Z] 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. [2025-06-26T23:28:56.475Z] The best model improves the baseline by 14.52%. [2025-06-26T23:28:56.475Z] Top recommended movies for user id 72: [2025-06-26T23:28:56.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:28:56.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:28:56.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:28:56.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:28:56.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:28:56.475Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16809.985 ms) ====== [2025-06-26T23:28:56.475Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-26T23:28:56.475Z] GC before operation: completed in 127.299 ms, heap usage 254.871 MB -> 88.774 MB. [2025-06-26T23:28:59.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:29:02.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:29:04.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:29:06.216Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:29:08.169Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:29:09.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:29:11.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:29:13.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:29:13.035Z] 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. [2025-06-26T23:29:13.035Z] The best model improves the baseline by 14.52%. [2025-06-26T23:29:13.035Z] Top recommended movies for user id 72: [2025-06-26T23:29:13.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:29:13.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:29:13.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:29:13.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:29:13.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:29:13.035Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16326.940 ms) ====== [2025-06-26T23:29:13.035Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-26T23:29:13.035Z] GC before operation: completed in 123.976 ms, heap usage 363.708 MB -> 89.673 MB. [2025-06-26T23:29:16.078Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:29:18.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:29:21.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:29:23.006Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:29:25.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:29:25.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:29:27.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:29:28.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:29:29.851Z] 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. [2025-06-26T23:29:29.851Z] The best model improves the baseline by 14.52%. [2025-06-26T23:29:29.851Z] Top recommended movies for user id 72: [2025-06-26T23:29:29.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:29:29.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:29:29.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:29:29.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:29:29.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:29:29.851Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16512.953 ms) ====== [2025-06-26T23:29:29.851Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-26T23:29:29.851Z] GC before operation: completed in 123.702 ms, heap usage 346.130 MB -> 89.839 MB. [2025-06-26T23:29:32.873Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:29:34.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:29:37.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:29:39.967Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:29:41.926Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:29:42.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:29:44.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:29:45.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:29:45.791Z] 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. [2025-06-26T23:29:45.791Z] The best model improves the baseline by 14.52%. [2025-06-26T23:29:46.744Z] Top recommended movies for user id 72: [2025-06-26T23:29:46.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:29:46.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:29:46.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:29:46.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:29:46.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:29:46.744Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16514.737 ms) ====== [2025-06-26T23:29:46.744Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-26T23:29:46.744Z] GC before operation: completed in 151.610 ms, heap usage 235.632 MB -> 89.618 MB. [2025-06-26T23:29:48.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:29:50.651Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:29:53.673Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:29:56.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:29:56.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:29:57.833Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:29:59.826Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:30:00.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:30:00.778Z] 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. [2025-06-26T23:30:00.778Z] The best model improves the baseline by 14.52%. [2025-06-26T23:30:00.778Z] Top recommended movies for user id 72: [2025-06-26T23:30:00.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:30:00.778Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:30:00.778Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:30:00.778Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:30:00.778Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:30:00.778Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14654.807 ms) ====== [2025-06-26T23:30:00.778Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-26T23:30:01.736Z] GC before operation: completed in 120.972 ms, heap usage 178.352 MB -> 89.886 MB. [2025-06-26T23:30:03.697Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:30:05.650Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:30:08.677Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:30:10.649Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:30:11.601Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:30:13.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:30:14.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:30:17.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:30:17.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-26T23:30:17.065Z] The best model improves the baseline by 14.52%. [2025-06-26T23:30:17.065Z] Top recommended movies for user id 72: [2025-06-26T23:30:17.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:30:17.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:30:17.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:30:17.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:30:17.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:30:17.065Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15887.475 ms) ====== [2025-06-26T23:30:17.065Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-26T23:30:17.065Z] GC before operation: completed in 135.327 ms, heap usage 151.137 MB -> 89.819 MB. [2025-06-26T23:30:20.102Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:30:22.057Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:30:25.101Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:30:27.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:30:28.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:30:29.960Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:30:31.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:30:32.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:30:32.869Z] 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. [2025-06-26T23:30:33.822Z] The best model improves the baseline by 14.52%. [2025-06-26T23:30:33.822Z] Top recommended movies for user id 72: [2025-06-26T23:30:33.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:30:33.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:30:33.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:30:33.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:30:33.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:30:33.822Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16226.799 ms) ====== [2025-06-26T23:30:33.822Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-26T23:30:33.822Z] GC before operation: completed in 130.901 ms, heap usage 355.773 MB -> 90.369 MB. [2025-06-26T23:30:35.841Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:30:38.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:30:40.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:30:42.781Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:30:44.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:30:45.690Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:30:47.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:30:49.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:30:49.625Z] 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. [2025-06-26T23:30:49.625Z] The best model improves the baseline by 14.52%. [2025-06-26T23:30:49.625Z] Top recommended movies for user id 72: [2025-06-26T23:30:49.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:30:49.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:30:49.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:30:49.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:30:49.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:30:49.625Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15920.620 ms) ====== [2025-06-26T23:30:49.625Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-26T23:30:49.625Z] GC before operation: completed in 122.550 ms, heap usage 341.142 MB -> 90.174 MB. [2025-06-26T23:30:51.591Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:30:54.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:30:56.565Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:30:59.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:31:00.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:31:02.488Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:31:03.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:31:05.403Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:31:05.403Z] 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. [2025-06-26T23:31:05.403Z] The best model improves the baseline by 14.52%. [2025-06-26T23:31:05.403Z] Top recommended movies for user id 72: [2025-06-26T23:31:05.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:31:05.403Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:31:05.403Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:31:05.403Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:31:05.403Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:31:05.403Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15948.948 ms) ====== [2025-06-26T23:31:05.403Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-26T23:31:05.403Z] GC before operation: completed in 131.944 ms, heap usage 341.271 MB -> 90.358 MB. [2025-06-26T23:31:08.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:31:10.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:31:13.494Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:31:15.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:31:17.437Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:31:18.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:31:20.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:31:21.296Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:31:21.296Z] 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. [2025-06-26T23:31:21.296Z] The best model improves the baseline by 14.52%. [2025-06-26T23:31:22.249Z] Top recommended movies for user id 72: [2025-06-26T23:31:22.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:31:22.249Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:31:22.249Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:31:22.249Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:31:22.249Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:31:22.249Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16037.214 ms) ====== [2025-06-26T23:31:22.249Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-26T23:31:22.249Z] GC before operation: completed in 124.302 ms, heap usage 362.566 MB -> 90.157 MB. [2025-06-26T23:31:25.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:31:26.379Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:31:28.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:31:30.288Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:31:32.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:31:33.240Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:31:34.192Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:31:36.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:31:36.146Z] 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. [2025-06-26T23:31:36.146Z] The best model improves the baseline by 14.52%. [2025-06-26T23:31:36.146Z] Top recommended movies for user id 72: [2025-06-26T23:31:36.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:31:36.146Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:31:36.146Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:31:36.146Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:31:36.146Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:31:36.146Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14216.980 ms) ====== [2025-06-26T23:31:36.146Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-26T23:31:36.146Z] GC before operation: completed in 136.195 ms, heap usage 497.989 MB -> 90.552 MB. [2025-06-26T23:31:38.100Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:31:41.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:31:43.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:31:45.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:31:46.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:31:47.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:31:49.904Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:31:50.854Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:31:51.807Z] 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. [2025-06-26T23:31:51.807Z] The best model improves the baseline by 14.52%. [2025-06-26T23:31:51.807Z] Top recommended movies for user id 72: [2025-06-26T23:31:51.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:31:51.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:31:51.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:31:51.807Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:31:51.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:31:51.807Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15367.789 ms) ====== [2025-06-26T23:31:51.807Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-26T23:31:51.807Z] GC before operation: completed in 112.664 ms, heap usage 135.626 MB -> 90.107 MB. [2025-06-26T23:31:53.788Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:31:56.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:31:58.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:32:00.745Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:32:02.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:32:03.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:32:05.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:32:06.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:32:07.510Z] 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. [2025-06-26T23:32:07.511Z] The best model improves the baseline by 14.52%. [2025-06-26T23:32:07.511Z] Top recommended movies for user id 72: [2025-06-26T23:32:07.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:32:07.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:32:07.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:32:07.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:32:07.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:32:07.511Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15501.449 ms) ====== [2025-06-26T23:32:07.511Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-26T23:32:07.511Z] GC before operation: completed in 120.712 ms, heap usage 291.263 MB -> 90.230 MB. [2025-06-26T23:32:09.468Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:32:12.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:32:14.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:32:16.400Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:32:18.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:32:19.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:32:20.251Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:32:22.212Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:32:22.212Z] 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. [2025-06-26T23:32:22.212Z] The best model improves the baseline by 14.52%. [2025-06-26T23:32:22.212Z] Top recommended movies for user id 72: [2025-06-26T23:32:22.212Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:32:22.212Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:32:22.212Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:32:22.212Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:32:22.212Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:32:22.212Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14796.394 ms) ====== [2025-06-26T23:32:22.212Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-26T23:32:22.212Z] GC before operation: completed in 127.308 ms, heap usage 278.033 MB -> 90.430 MB. [2025-06-26T23:32:24.215Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:32:27.228Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:32:29.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:32:31.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:32:32.098Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:32:34.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:32:34.998Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:32:36.957Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:32:36.957Z] 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. [2025-06-26T23:32:36.957Z] The best model improves the baseline by 14.52%. [2025-06-26T23:32:36.957Z] Top recommended movies for user id 72: [2025-06-26T23:32:36.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:32:36.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:32:36.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:32:36.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:32:36.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:32:36.957Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14600.446 ms) ====== [2025-06-26T23:32:36.957Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-26T23:32:36.957Z] GC before operation: completed in 126.829 ms, heap usage 492.755 MB -> 90.578 MB. [2025-06-26T23:32:42.825Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:32:42.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:32:43.776Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:32:45.734Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:32:46.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:32:48.638Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:32:49.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:32:50.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:32:51.525Z] 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. [2025-06-26T23:32:51.525Z] The best model improves the baseline by 14.52%. [2025-06-26T23:32:51.525Z] Top recommended movies for user id 72: [2025-06-26T23:32:51.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:32:51.525Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:32:51.525Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:32:51.525Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:32:51.525Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:32:51.525Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14409.844 ms) ====== [2025-06-26T23:32:51.525Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-26T23:32:51.525Z] GC before operation: completed in 130.759 ms, heap usage 229.541 MB -> 90.215 MB. [2025-06-26T23:32:53.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:32:56.506Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:32:58.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:33:00.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:33:01.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:33:03.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:33:04.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:33:06.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:33:06.253Z] 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. [2025-06-26T23:33:06.253Z] The best model improves the baseline by 14.52%. [2025-06-26T23:33:06.253Z] Top recommended movies for user id 72: [2025-06-26T23:33:06.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:33:06.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:33:06.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:33:06.253Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:33:06.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:33:06.253Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14550.084 ms) ====== [2025-06-26T23:33:06.253Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-26T23:33:06.253Z] GC before operation: completed in 132.208 ms, heap usage 356.053 MB -> 90.355 MB. [2025-06-26T23:33:08.211Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:33:10.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:33:13.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:33:15.151Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:33:18.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:33:18.167Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:33:20.130Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:33:24.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:33:24.677Z] 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. [2025-06-26T23:33:24.677Z] The best model improves the baseline by 14.52%. [2025-06-26T23:33:24.677Z] Top recommended movies for user id 72: [2025-06-26T23:33:24.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:33:24.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:33:24.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:33:24.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:33:24.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:33:24.677Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15488.477 ms) ====== [2025-06-26T23:33:24.677Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-26T23:33:24.677Z] GC before operation: completed in 128.893 ms, heap usage 479.562 MB -> 90.627 MB. [2025-06-26T23:33:24.677Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-26T23:33:26.637Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-26T23:33:28.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-26T23:33:30.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-26T23:33:31.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-26T23:33:33.539Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-26T23:33:34.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-26T23:33:36.460Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-26T23:33:36.460Z] 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. [2025-06-26T23:33:36.460Z] The best model improves the baseline by 14.52%. [2025-06-26T23:33:36.460Z] Top recommended movies for user id 72: [2025-06-26T23:33:36.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-26T23:33:36.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-26T23:33:36.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-26T23:33:36.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-26T23:33:36.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-26T23:33:36.460Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14638.292 ms) ====== [2025-06-26T23:33:37.412Z] ----------------------------------- [2025-06-26T23:33:37.412Z] renaissance-movie-lens_0_PASSED [2025-06-26T23:33:37.412Z] ----------------------------------- [2025-06-26T23:33:37.412Z] [2025-06-26T23:33:37.412Z] TEST TEARDOWN: [2025-06-26T23:33:37.412Z] Nothing to be done for teardown. [2025-06-26T23:33:37.412Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 23:33:36 2025 Epoch Time (ms): 1750980816561