[2026-04-06T22:15:55.333Z] Running test renaissance-movie-lens_0 ... [2026-04-06T22:15:55.333Z] =============================================== [2026-04-06T22:15:55.333Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 22:15:54 2026 Epoch Time (ms): 1775513754690 [2026-04-06T22:15:55.333Z] variation: NoOptions [2026-04-06T22:15:55.333Z] JVM_OPTIONS: [2026-04-06T22:15:55.333Z] { \ [2026-04-06T22:15:55.333Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T22:15:55.333Z] echo "Nothing to be done for setup."; \ [2026-04-06T22:15:55.333Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17755127739243/renaissance-movie-lens_0"; \ [2026-04-06T22:15:55.333Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17755127739243/renaissance-movie-lens_0"; \ [2026-04-06T22:15:55.333Z] echo ""; echo "TESTING:"; \ [2026-04-06T22:15:55.333Z] "/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_17755127739243/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-06T22:15:55.333Z] 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_17755127739243/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T22:15:55.333Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T22:15:55.333Z] echo "Nothing to be done for teardown."; \ [2026-04-06T22:15:55.333Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17755127739243/TestTargetResult"; [2026-04-06T22:15:55.333Z] [2026-04-06T22:15:55.333Z] TEST SETUP: [2026-04-06T22:15:55.333Z] Nothing to be done for setup. [2026-04-06T22:15:55.333Z] [2026-04-06T22:15:55.333Z] TESTING: [2026-04-06T22:16:00.720Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-06T22:16:09.696Z] 22:16:08.472 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. [2026-04-06T22:16:11.647Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T22:16:11.647Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T22:16:11.647Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T22:16:11.647Z] GC before operation: completed in 183.326 ms, heap usage 217.521 MB -> 74.452 MB. [2026-04-06T22:16:18.355Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:16:22.508Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:16:25.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:16:29.686Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:16:31.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:16:33.616Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:16:35.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:16:37.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:16:37.525Z] 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. [2026-04-06T22:16:37.525Z] The best model improves the baseline by 14.52%. [2026-04-06T22:16:38.475Z] Top recommended movies for user id 72: [2026-04-06T22:16:38.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:16:38.475Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:16:38.475Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:16:38.475Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:16:38.475Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:16:38.475Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26078.688 ms) ====== [2026-04-06T22:16:38.475Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T22:16:38.475Z] GC before operation: completed in 188.026 ms, heap usage 391.803 MB -> 85.609 MB. [2026-04-06T22:16:41.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:16:45.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:16:48.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:16:51.682Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:16:52.633Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:16:54.586Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:16:56.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:16:58.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:16:59.465Z] 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. [2026-04-06T22:16:59.465Z] The best model improves the baseline by 14.52%. [2026-04-06T22:16:59.465Z] Top recommended movies for user id 72: [2026-04-06T22:16:59.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:16:59.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:16:59.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:16:59.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:16:59.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:16:59.465Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20959.003 ms) ====== [2026-04-06T22:16:59.465Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T22:16:59.465Z] GC before operation: completed in 171.080 ms, heap usage 497.285 MB -> 87.869 MB. [2026-04-06T22:17:03.477Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:17:05.431Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:17:08.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:17:11.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:17:13.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:17:15.397Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:17:17.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:17:19.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:17:19.302Z] 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. [2026-04-06T22:17:19.302Z] The best model improves the baseline by 14.52%. [2026-04-06T22:17:20.253Z] Top recommended movies for user id 72: [2026-04-06T22:17:20.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:17:20.253Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:17:20.253Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:17:20.253Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:17:20.253Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:17:20.253Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20383.563 ms) ====== [2026-04-06T22:17:20.253Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T22:17:20.253Z] GC before operation: completed in 167.668 ms, heap usage 461.169 MB -> 88.428 MB. [2026-04-06T22:17:23.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:17:26.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:17:29.311Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:17:32.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:17:34.295Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:17:35.245Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:17:37.217Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:17:39.177Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:17:40.134Z] 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. [2026-04-06T22:17:40.134Z] The best model improves the baseline by 14.52%. [2026-04-06T22:17:40.134Z] Top recommended movies for user id 72: [2026-04-06T22:17:40.134Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:17:40.134Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:17:40.134Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:17:40.134Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:17:40.134Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:17:40.134Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20074.066 ms) ====== [2026-04-06T22:17:40.134Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T22:17:40.134Z] GC before operation: completed in 166.763 ms, heap usage 457.777 MB -> 88.716 MB. [2026-04-06T22:17:43.155Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:17:47.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:17:51.242Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:17:52.193Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:17:53.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:17:57.140Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:17:57.140Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:17:59.104Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:17:59.104Z] 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. [2026-04-06T22:17:59.104Z] The best model improves the baseline by 14.52%. [2026-04-06T22:17:59.104Z] Top recommended movies for user id 72: [2026-04-06T22:17:59.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:17:59.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:17:59.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:17:59.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:17:59.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:17:59.104Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19271.651 ms) ====== [2026-04-06T22:17:59.104Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T22:18:00.072Z] GC before operation: completed in 187.904 ms, heap usage 338.191 MB -> 88.464 MB. [2026-04-06T22:18:02.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:18:06.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:18:08.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:18:11.349Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:18:13.317Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:18:15.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:18:17.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:18:18.242Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:18:19.201Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-06T22:18:19.201Z] The best model improves the baseline by 14.52%. [2026-04-06T22:18:19.201Z] Top recommended movies for user id 72: [2026-04-06T22:18:19.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:18:19.201Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:18:19.201Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:18:19.201Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:18:19.201Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:18:19.201Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19534.512 ms) ====== [2026-04-06T22:18:19.201Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T22:18:19.201Z] GC before operation: completed in 196.786 ms, heap usage 407.921 MB -> 88.880 MB. [2026-04-06T22:18:22.967Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:18:25.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:18:28.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:18:31.944Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:18:32.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:18:34.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:18:37.813Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:18:42.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:18:42.571Z] 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. [2026-04-06T22:18:42.571Z] The best model improves the baseline by 14.52%. [2026-04-06T22:18:42.571Z] Top recommended movies for user id 72: [2026-04-06T22:18:42.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:18:42.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:18:42.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:18:42.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:18:42.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:18:42.571Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19769.726 ms) ====== [2026-04-06T22:18:42.571Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T22:18:42.571Z] GC before operation: completed in 173.300 ms, heap usage 385.917 MB -> 88.821 MB. [2026-04-06T22:18:44.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:18:45.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:18:48.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:18:51.519Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:18:52.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:18:54.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:18:56.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:18:58.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:18:58.435Z] 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. [2026-04-06T22:18:58.435Z] The best model improves the baseline by 14.52%. [2026-04-06T22:18:58.435Z] Top recommended movies for user id 72: [2026-04-06T22:18:58.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:18:58.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:18:58.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:18:58.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:18:58.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:18:58.435Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19321.583 ms) ====== [2026-04-06T22:18:58.435Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T22:18:58.435Z] GC before operation: completed in 167.949 ms, heap usage 126.417 MB -> 88.657 MB. [2026-04-06T22:19:01.506Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:19:04.523Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:19:07.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:19:10.571Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:19:11.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:19:13.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:19:15.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:19:16.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:19:17.790Z] 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. [2026-04-06T22:19:17.790Z] The best model improves the baseline by 14.52%. [2026-04-06T22:19:17.790Z] Top recommended movies for user id 72: [2026-04-06T22:19:17.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:19:17.790Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:19:17.790Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:19:17.790Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:19:17.790Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:19:17.790Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18771.996 ms) ====== [2026-04-06T22:19:17.790Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T22:19:17.790Z] GC before operation: completed in 168.363 ms, heap usage 540.117 MB -> 92.362 MB. [2026-04-06T22:19:20.826Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:19:23.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:19:26.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:19:28.947Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:19:30.904Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:19:32.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:19:34.811Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:19:36.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:19:36.955Z] 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. [2026-04-06T22:19:36.955Z] The best model improves the baseline by 14.52%. [2026-04-06T22:19:36.955Z] Top recommended movies for user id 72: [2026-04-06T22:19:36.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:19:36.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:19:36.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:19:36.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:19:36.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:19:36.955Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19289.939 ms) ====== [2026-04-06T22:19:36.955Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T22:19:36.955Z] GC before operation: completed in 173.460 ms, heap usage 462.277 MB -> 89.213 MB. [2026-04-06T22:19:40.016Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:19:43.035Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:19:46.147Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:19:49.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:19:51.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:19:52.084Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:19:54.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:19:56.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:19:56.003Z] 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. [2026-04-06T22:19:56.003Z] The best model improves the baseline by 14.52%. [2026-04-06T22:19:56.954Z] Top recommended movies for user id 72: [2026-04-06T22:19:56.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:19:56.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:19:56.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:19:56.954Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:19:56.954Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:19:56.954Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19293.085 ms) ====== [2026-04-06T22:19:56.954Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T22:19:56.954Z] GC before operation: completed in 161.915 ms, heap usage 401.430 MB -> 88.840 MB. [2026-04-06T22:19:59.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:20:02.048Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:20:05.071Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:20:08.092Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:20:10.044Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:20:12.405Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:20:14.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:20:16.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:20:16.354Z] 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. [2026-04-06T22:20:16.354Z] The best model improves the baseline by 14.52%. [2026-04-06T22:20:16.354Z] Top recommended movies for user id 72: [2026-04-06T22:20:16.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:20:16.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:20:16.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:20:16.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:20:16.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:20:16.354Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19710.868 ms) ====== [2026-04-06T22:20:16.354Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T22:20:16.354Z] GC before operation: completed in 168.376 ms, heap usage 403.500 MB -> 89.056 MB. [2026-04-06T22:20:19.370Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:20:22.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:20:25.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:20:28.448Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:20:29.405Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:20:31.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:20:33.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:20:35.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:20:35.392Z] 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. [2026-04-06T22:20:35.392Z] The best model improves the baseline by 14.52%. [2026-04-06T22:20:35.392Z] Top recommended movies for user id 72: [2026-04-06T22:20:35.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:20:35.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:20:35.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:20:35.392Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:20:35.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:20:35.392Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19218.421 ms) ====== [2026-04-06T22:20:35.392Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T22:20:36.343Z] GC before operation: completed in 160.166 ms, heap usage 448.039 MB -> 89.253 MB. [2026-04-06T22:20:38.305Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:20:41.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:20:44.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:20:47.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:20:49.351Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:20:51.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:20:53.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:20:55.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:20:55.222Z] 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. [2026-04-06T22:20:55.222Z] The best model improves the baseline by 14.52%. [2026-04-06T22:20:55.222Z] Top recommended movies for user id 72: [2026-04-06T22:20:55.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:20:55.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:20:55.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:20:55.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:20:55.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:20:55.222Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19316.132 ms) ====== [2026-04-06T22:20:55.222Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T22:20:55.222Z] GC before operation: completed in 155.188 ms, heap usage 417.443 MB -> 88.983 MB. [2026-04-06T22:20:58.244Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:21:01.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:21:03.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:21:06.339Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:21:08.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:21:09.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:21:11.895Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:21:13.888Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:21:13.888Z] 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. [2026-04-06T22:21:13.888Z] The best model improves the baseline by 14.52%. [2026-04-06T22:21:13.888Z] Top recommended movies for user id 72: [2026-04-06T22:21:13.888Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:21:13.888Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:21:13.888Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:21:13.888Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:21:13.888Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:21:13.888Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18775.309 ms) ====== [2026-04-06T22:21:13.888Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T22:21:13.888Z] GC before operation: completed in 157.413 ms, heap usage 473.738 MB -> 89.300 MB. [2026-04-06T22:21:16.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:21:19.913Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:21:22.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:21:25.964Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:21:26.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:21:28.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:21:30.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:21:32.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:21:32.780Z] 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. [2026-04-06T22:21:32.780Z] The best model improves the baseline by 14.52%. [2026-04-06T22:21:32.780Z] Top recommended movies for user id 72: [2026-04-06T22:21:32.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:21:32.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:21:32.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:21:32.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:21:32.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:21:32.780Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18477.444 ms) ====== [2026-04-06T22:21:32.780Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T22:21:32.780Z] GC before operation: completed in 181.517 ms, heap usage 384.918 MB -> 89.048 MB. [2026-04-06T22:21:35.793Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:21:38.871Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:21:41.883Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:21:43.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:21:45.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:21:47.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:21:49.699Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:21:50.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:21:51.614Z] 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. [2026-04-06T22:21:51.614Z] The best model improves the baseline by 14.52%. [2026-04-06T22:21:51.614Z] Top recommended movies for user id 72: [2026-04-06T22:21:51.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:21:51.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:21:51.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:21:51.615Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:21:51.615Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:21:51.615Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18575.270 ms) ====== [2026-04-06T22:21:51.615Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T22:21:51.615Z] GC before operation: completed in 164.610 ms, heap usage 407.364 MB -> 89.129 MB. [2026-04-06T22:21:54.637Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:21:57.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:22:00.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:22:02.684Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:22:05.401Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:22:06.352Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:22:08.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:22:10.256Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:22:10.256Z] 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. [2026-04-06T22:22:10.256Z] The best model improves the baseline by 14.52%. [2026-04-06T22:22:10.256Z] Top recommended movies for user id 72: [2026-04-06T22:22:10.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:22:10.256Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:22:10.256Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:22:10.256Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:22:10.256Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:22:10.256Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18699.817 ms) ====== [2026-04-06T22:22:10.256Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T22:22:10.257Z] GC before operation: completed in 153.089 ms, heap usage 216.334 MB -> 88.708 MB. [2026-04-06T22:22:13.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:22:16.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:22:19.322Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:22:22.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:22:23.292Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:22:25.256Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:22:27.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:22:29.175Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:22:29.175Z] 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. [2026-04-06T22:22:29.175Z] The best model improves the baseline by 14.52%. [2026-04-06T22:22:29.175Z] Top recommended movies for user id 72: [2026-04-06T22:22:29.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:22:29.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:22:29.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:22:29.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:22:29.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:22:29.175Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18684.519 ms) ====== [2026-04-06T22:22:29.175Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T22:22:29.175Z] GC before operation: completed in 160.248 ms, heap usage 436.679 MB -> 89.152 MB. [2026-04-06T22:22:32.200Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:22:35.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:22:38.231Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:22:40.184Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:22:42.139Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:22:44.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:22:46.082Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:22:48.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:22:48.037Z] 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. [2026-04-06T22:22:48.037Z] The best model improves the baseline by 14.52%. [2026-04-06T22:22:48.037Z] Top recommended movies for user id 72: [2026-04-06T22:22:48.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:22:48.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:22:48.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:22:48.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:22:48.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:22:48.037Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18582.468 ms) ====== [2026-04-06T22:22:48.990Z] ----------------------------------- [2026-04-06T22:22:48.990Z] renaissance-movie-lens_0_PASSED [2026-04-06T22:22:48.990Z] ----------------------------------- [2026-04-06T22:22:48.990Z] [2026-04-06T22:22:48.990Z] TEST TEARDOWN: [2026-04-06T22:22:48.990Z] Nothing to be done for teardown. [2026-04-06T22:22:48.990Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 22:22:48 2026 Epoch Time (ms): 1775514168050