[2025-10-01T22:39:48.347Z] Running test renaissance-movie-lens_0 ... [2025-10-01T22:39:48.347Z] =============================================== [2025-10-01T22:39:48.347Z] renaissance-movie-lens_0 Start Time: Wed Oct 1 22:39:47 2025 Epoch Time (ms): 1759358387879 [2025-10-01T22:39:48.347Z] variation: NoOptions [2025-10-01T22:39:48.347Z] JVM_OPTIONS: [2025-10-01T22:39:48.347Z] { \ [2025-10-01T22:39:48.347Z] echo ""; echo "TEST SETUP:"; \ [2025-10-01T22:39:48.347Z] echo "Nothing to be done for setup."; \ [2025-10-01T22:39:48.347Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17593567378701/renaissance-movie-lens_0"; \ [2025-10-01T22:39:48.347Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17593567378701/renaissance-movie-lens_0"; \ [2025-10-01T22:39:48.347Z] echo ""; echo "TESTING:"; \ [2025-10-01T22:39:48.347Z] "/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_17593567378701/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-01T22:39:48.347Z] 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_17593567378701/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-01T22:39:48.347Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-01T22:39:48.347Z] echo "Nothing to be done for teardown."; \ [2025-10-01T22:39:48.347Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17593567378701/TestTargetResult"; [2025-10-01T22:39:48.347Z] [2025-10-01T22:39:48.347Z] TEST SETUP: [2025-10-01T22:39:48.347Z] Nothing to be done for setup. [2025-10-01T22:39:48.347Z] [2025-10-01T22:39:48.347Z] TESTING: [2025-10-01T22:39:55.016Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-01T22:40:03.123Z] 22:40:01.758 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. [2025-10-01T22:40:05.074Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-01T22:40:05.074Z] Training: 60056, validation: 20285, test: 19854 [2025-10-01T22:40:05.074Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-01T22:40:05.074Z] GC before operation: completed in 168.603 ms, heap usage 254.534 MB -> 74.391 MB. [2025-10-01T22:40:12.314Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:40:16.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:40:20.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:40:23.625Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:40:25.567Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:40:27.580Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:40:29.522Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:40:31.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:40:32.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:40:32.431Z] The best model improves the baseline by 14.52%. [2025-10-01T22:40:32.431Z] Top recommended movies for user id 72: [2025-10-01T22:40:32.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:40:32.431Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:40:32.431Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:40:32.431Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:40:32.431Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:40:32.431Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27334.043 ms) ====== [2025-10-01T22:40:32.431Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-01T22:40:32.431Z] GC before operation: completed in 205.039 ms, heap usage 408.552 MB -> 85.616 MB. [2025-10-01T22:40:36.564Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:40:39.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:40:43.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:40:46.719Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:40:48.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:40:50.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:40:52.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:40:54.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:40:54.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:40:54.527Z] The best model improves the baseline by 14.52%. [2025-10-01T22:40:54.527Z] Top recommended movies for user id 72: [2025-10-01T22:40:54.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:40:54.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:40:54.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:40:54.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:40:54.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:40:54.527Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22077.521 ms) ====== [2025-10-01T22:40:54.527Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-01T22:40:55.473Z] GC before operation: completed in 198.908 ms, heap usage 160.464 MB -> 87.367 MB. [2025-10-01T22:40:58.476Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:41:01.479Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:41:04.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:41:07.492Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:41:10.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:41:12.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:41:14.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:41:15.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:41:15.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:41:15.981Z] The best model improves the baseline by 14.52%. [2025-10-01T22:41:15.981Z] Top recommended movies for user id 72: [2025-10-01T22:41:15.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:41:15.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:41:15.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:41:15.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:41:15.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:41:15.981Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20886.226 ms) ====== [2025-10-01T22:41:15.981Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-01T22:41:15.981Z] GC before operation: completed in 165.801 ms, heap usage 351.761 MB -> 88.258 MB. [2025-10-01T22:41:18.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:41:21.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:41:24.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:41:28.005Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:41:29.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:41:31.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:41:33.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:41:35.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:41:35.788Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:41:35.788Z] The best model improves the baseline by 14.52%. [2025-10-01T22:41:35.788Z] Top recommended movies for user id 72: [2025-10-01T22:41:35.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:41:35.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:41:35.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:41:35.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:41:35.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:41:35.788Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19985.003 ms) ====== [2025-10-01T22:41:35.788Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-01T22:41:36.735Z] GC before operation: completed in 165.261 ms, heap usage 463.669 MB -> 88.716 MB. [2025-10-01T22:41:39.742Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:41:42.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:41:45.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:41:48.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:41:50.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:41:51.657Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:41:53.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:41:55.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:41:55.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:41:56.494Z] The best model improves the baseline by 14.52%. [2025-10-01T22:41:56.494Z] Top recommended movies for user id 72: [2025-10-01T22:41:56.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:41:56.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:41:56.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:41:56.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:41:56.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:41:56.494Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19864.052 ms) ====== [2025-10-01T22:41:56.494Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-01T22:41:56.494Z] GC before operation: completed in 161.387 ms, heap usage 285.307 MB -> 88.421 MB. [2025-10-01T22:41:59.513Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:42:02.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:42:05.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:42:08.213Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:42:10.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:42:11.124Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:42:13.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:42:15.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:42:15.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:42:15.021Z] The best model improves the baseline by 14.52%. [2025-10-01T22:42:15.980Z] Top recommended movies for user id 72: [2025-10-01T22:42:15.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:42:15.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:42:15.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:42:15.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:42:15.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:42:15.980Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19149.736 ms) ====== [2025-10-01T22:42:15.980Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-01T22:42:15.980Z] GC before operation: completed in 174.021 ms, heap usage 405.078 MB -> 88.885 MB. [2025-10-01T22:42:17.948Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:42:21.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:42:24.118Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:42:27.129Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:42:29.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:42:30.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:42:31.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:42:33.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:42:33.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:42:33.942Z] The best model improves the baseline by 14.52%. [2025-10-01T22:42:33.942Z] Top recommended movies for user id 72: [2025-10-01T22:42:33.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:42:33.942Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:42:33.942Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:42:33.942Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:42:33.943Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:42:33.943Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18720.592 ms) ====== [2025-10-01T22:42:33.943Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-01T22:42:34.892Z] GC before operation: completed in 149.564 ms, heap usage 314.205 MB -> 88.739 MB. [2025-10-01T22:42:36.836Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:42:39.846Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:42:42.844Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:42:45.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:42:47.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:42:49.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:42:51.682Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:42:52.632Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:42:53.579Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:42:53.579Z] The best model improves the baseline by 14.52%. [2025-10-01T22:42:53.579Z] Top recommended movies for user id 72: [2025-10-01T22:42:53.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:42:53.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:42:53.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:42:53.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:42:53.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:42:53.579Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18824.233 ms) ====== [2025-10-01T22:42:53.579Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-01T22:42:53.579Z] GC before operation: completed in 145.396 ms, heap usage 277.465 MB -> 88.895 MB. [2025-10-01T22:42:56.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:42:58.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:43:01.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:43:04.239Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:43:06.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:43:08.130Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:43:10.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:43:12.035Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:43:12.035Z] 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. [2025-10-01T22:43:12.036Z] The best model improves the baseline by 14.52%. [2025-10-01T22:43:12.984Z] Top recommended movies for user id 72: [2025-10-01T22:43:12.984Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:43:12.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:43:12.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:43:12.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:43:12.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:43:12.985Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19043.840 ms) ====== [2025-10-01T22:43:12.985Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-01T22:43:12.985Z] GC before operation: completed in 178.570 ms, heap usage 129.050 MB -> 88.542 MB. [2025-10-01T22:43:15.985Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:43:18.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:43:21.985Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:43:24.997Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:43:25.943Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:43:27.943Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:43:29.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:43:31.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:43:31.835Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:43:31.835Z] The best model improves the baseline by 14.52%. [2025-10-01T22:43:31.835Z] Top recommended movies for user id 72: [2025-10-01T22:43:31.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:43:31.835Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:43:31.835Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:43:31.835Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:43:31.835Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:43:31.835Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19184.208 ms) ====== [2025-10-01T22:43:31.835Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-01T22:43:31.835Z] GC before operation: completed in 158.651 ms, heap usage 120.423 MB -> 88.796 MB. [2025-10-01T22:43:34.839Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:43:37.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:43:40.888Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:43:43.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:43:44.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:43:46.780Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:43:48.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:43:50.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:43:50.695Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:43:50.695Z] The best model improves the baseline by 14.52%. [2025-10-01T22:43:50.695Z] Top recommended movies for user id 72: [2025-10-01T22:43:50.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:43:50.695Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:43:50.695Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:43:50.695Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:43:50.695Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:43:50.695Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18778.185 ms) ====== [2025-10-01T22:43:50.695Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-01T22:43:50.695Z] GC before operation: completed in 156.644 ms, heap usage 414.039 MB -> 88.863 MB. [2025-10-01T22:43:53.717Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:43:56.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:43:59.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:44:02.433Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:44:04.379Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:44:06.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:44:08.275Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:44:09.228Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:44:10.180Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:44:10.180Z] The best model improves the baseline by 14.52%. [2025-10-01T22:44:10.180Z] Top recommended movies for user id 72: [2025-10-01T22:44:10.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:44:10.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:44:10.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:44:10.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:44:10.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:44:10.180Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19125.670 ms) ====== [2025-10-01T22:44:10.180Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-01T22:44:10.180Z] GC before operation: completed in 159.537 ms, heap usage 389.700 MB -> 89.076 MB. [2025-10-01T22:44:13.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:44:16.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:44:19.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:44:22.205Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:44:23.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:44:25.100Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:44:27.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:44:28.994Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:44:28.994Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:44:28.994Z] The best model improves the baseline by 14.52%. [2025-10-01T22:44:29.941Z] Top recommended movies for user id 72: [2025-10-01T22:44:29.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:44:29.941Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:44:29.941Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:44:29.941Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:44:29.941Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:44:29.941Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19242.904 ms) ====== [2025-10-01T22:44:29.941Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-01T22:44:29.941Z] GC before operation: completed in 164.182 ms, heap usage 308.871 MB -> 89.088 MB. [2025-10-01T22:44:32.979Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:44:34.932Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:44:37.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:44:40.949Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:44:42.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:44:43.845Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:44:45.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:44:47.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:44:47.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:44:47.738Z] The best model improves the baseline by 14.52%. [2025-10-01T22:44:47.738Z] Top recommended movies for user id 72: [2025-10-01T22:44:47.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:44:47.738Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:44:47.738Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:44:47.738Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:44:47.738Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:44:47.738Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18343.674 ms) ====== [2025-10-01T22:44:47.738Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-01T22:44:48.692Z] GC before operation: completed in 166.009 ms, heap usage 416.045 MB -> 88.999 MB. [2025-10-01T22:44:50.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:44:53.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:44:57.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:44:59.294Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:45:01.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:45:03.192Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:45:05.142Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:45:07.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:45:07.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:45:07.096Z] The best model improves the baseline by 14.52%. [2025-10-01T22:45:07.096Z] Top recommended movies for user id 72: [2025-10-01T22:45:07.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:45:07.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:45:07.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:45:07.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:45:07.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:45:07.096Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19047.312 ms) ====== [2025-10-01T22:45:07.096Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-01T22:45:07.096Z] GC before operation: completed in 151.089 ms, heap usage 474.436 MB -> 89.313 MB. [2025-10-01T22:45:10.134Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:45:13.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:45:16.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:45:19.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:45:20.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:45:22.087Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:45:24.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:45:25.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:45:25.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:45:25.981Z] The best model improves the baseline by 14.52%. [2025-10-01T22:45:26.930Z] Top recommended movies for user id 72: [2025-10-01T22:45:26.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:45:26.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:45:26.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:45:26.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:45:26.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:45:26.930Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19121.422 ms) ====== [2025-10-01T22:45:26.930Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-01T22:45:26.930Z] GC before operation: completed in 156.305 ms, heap usage 390.274 MB -> 89.058 MB. [2025-10-01T22:45:29.937Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:45:31.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:45:34.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:45:37.903Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:45:39.843Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:45:40.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:45:42.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:45:44.689Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:45:44.689Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:45:44.689Z] The best model improves the baseline by 14.52%. [2025-10-01T22:45:45.639Z] Top recommended movies for user id 72: [2025-10-01T22:45:45.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:45:45.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:45:45.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:45:45.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:45:45.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:45:45.639Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18524.163 ms) ====== [2025-10-01T22:45:45.639Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-01T22:45:45.639Z] GC before operation: completed in 150.386 ms, heap usage 101.647 MB -> 88.679 MB. [2025-10-01T22:45:48.655Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:45:51.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:45:53.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:45:56.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:45:58.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:46:00.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:46:02.118Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:46:04.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:46:04.064Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:46:04.064Z] The best model improves the baseline by 14.52%. [2025-10-01T22:46:04.064Z] Top recommended movies for user id 72: [2025-10-01T22:46:04.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:46:04.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:46:04.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:46:04.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:46:04.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:46:04.064Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18832.277 ms) ====== [2025-10-01T22:46:04.064Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-01T22:46:04.064Z] GC before operation: completed in 151.988 ms, heap usage 176.460 MB -> 88.710 MB. [2025-10-01T22:46:07.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:46:10.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:46:13.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:46:15.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:46:17.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:46:18.986Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:46:20.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:46:22.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:46:22.900Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:46:22.900Z] The best model improves the baseline by 14.52%. [2025-10-01T22:46:22.900Z] Top recommended movies for user id 72: [2025-10-01T22:46:22.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:46:22.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:46:22.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:46:22.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:46:22.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:46:22.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18560.598 ms) ====== [2025-10-01T22:46:22.901Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-01T22:46:22.901Z] GC before operation: completed in 147.445 ms, heap usage 104.572 MB -> 88.608 MB. [2025-10-01T22:46:25.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-01T22:46:28.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-01T22:46:30.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-01T22:46:33.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-01T22:46:35.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-01T22:46:37.763Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-01T22:46:39.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-01T22:46:41.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-01T22:46:41.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-01T22:46:41.649Z] The best model improves the baseline by 14.52%. [2025-10-01T22:46:41.649Z] Top recommended movies for user id 72: [2025-10-01T22:46:41.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-01T22:46:41.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-01T22:46:41.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-01T22:46:41.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-01T22:46:41.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-01T22:46:41.649Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18511.019 ms) ====== [2025-10-01T22:46:42.595Z] ----------------------------------- [2025-10-01T22:46:42.595Z] renaissance-movie-lens_0_PASSED [2025-10-01T22:46:42.595Z] ----------------------------------- [2025-10-01T22:46:42.595Z] [2025-10-01T22:46:42.595Z] TEST TEARDOWN: [2025-10-01T22:46:42.595Z] Nothing to be done for teardown. [2025-10-01T22:46:42.595Z] renaissance-movie-lens_0 Finish Time: Wed Oct 1 22:46:41 2025 Epoch Time (ms): 1759358801582