[2026-02-12T01:24:33.811Z] Running test renaissance-movie-lens_0 ... [2026-02-12T01:24:33.811Z] =============================================== [2026-02-12T01:24:33.811Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 01:24:33 2026 Epoch Time (ms): 1770859473482 [2026-02-12T01:24:33.811Z] variation: NoOptions [2026-02-12T01:24:33.811Z] JVM_OPTIONS: [2026-02-12T01:24:33.811Z] { \ [2026-02-12T01:24:33.811Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T01:24:33.811Z] echo "Nothing to be done for setup."; \ [2026-02-12T01:24:33.811Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708584592104/renaissance-movie-lens_0"; \ [2026-02-12T01:24:33.811Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708584592104/renaissance-movie-lens_0"; \ [2026-02-12T01:24:33.811Z] echo ""; echo "TESTING:"; \ [2026-02-12T01:24:33.812Z] "/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_17708584592104/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T01:24:33.812Z] 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_17708584592104/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T01:24:33.812Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T01:24:33.812Z] echo "Nothing to be done for teardown."; \ [2026-02-12T01:24:33.812Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17708584592104/TestTargetResult"; [2026-02-12T01:24:33.812Z] [2026-02-12T01:24:33.812Z] TEST SETUP: [2026-02-12T01:24:33.812Z] Nothing to be done for setup. [2026-02-12T01:24:33.812Z] [2026-02-12T01:24:33.812Z] TESTING: [2026-02-12T01:24:40.586Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T01:24:47.346Z] 01:24:46.926 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T01:24:50.389Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T01:24:50.389Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T01:24:50.389Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T01:24:50.389Z] GC before operation: completed in 151.612 ms, heap usage 286.329 MB -> 74.461 MB. [2026-02-12T01:24:55.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:25:00.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:25:03.060Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:25:07.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:25:08.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:25:10.634Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:25:12.626Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:25:14.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:25:14.600Z] 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. [2026-02-12T01:25:14.600Z] The best model improves the baseline by 14.52%. [2026-02-12T01:25:15.563Z] Top recommended movies for user id 72: [2026-02-12T01:25:15.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:25:15.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:25:15.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:25:15.563Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:25:15.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:25:15.563Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24585.706 ms) ====== [2026-02-12T01:25:15.563Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T01:25:15.563Z] GC before operation: completed in 173.994 ms, heap usage 370.076 MB -> 88.213 MB. [2026-02-12T01:25:18.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:25:21.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:25:24.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:25:27.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:25:29.748Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:25:31.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:25:33.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:25:35.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:25:36.642Z] 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. [2026-02-12T01:25:36.643Z] The best model improves the baseline by 14.52%. [2026-02-12T01:25:36.643Z] Top recommended movies for user id 72: [2026-02-12T01:25:36.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:25:36.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:25:36.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:25:36.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:25:36.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:25:36.643Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21239.278 ms) ====== [2026-02-12T01:25:36.643Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T01:25:36.643Z] GC before operation: completed in 170.124 ms, heap usage 179.746 MB -> 87.484 MB. [2026-02-12T01:25:39.696Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:25:42.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:25:45.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:25:48.841Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:25:50.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:25:52.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:25:54.788Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:25:56.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:25:56.764Z] 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. [2026-02-12T01:25:56.764Z] The best model improves the baseline by 14.52%. [2026-02-12T01:25:56.764Z] Top recommended movies for user id 72: [2026-02-12T01:25:56.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:25:56.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:25:56.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:25:56.764Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:25:56.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:25:56.764Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20517.623 ms) ====== [2026-02-12T01:25:56.764Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T01:25:57.724Z] GC before operation: completed in 174.594 ms, heap usage 313.256 MB -> 88.274 MB. [2026-02-12T01:26:00.768Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:26:02.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:26:06.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:26:08.901Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:26:10.871Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:26:12.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:26:14.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:26:16.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:26:16.783Z] 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. [2026-02-12T01:26:17.743Z] The best model improves the baseline by 14.52%. [2026-02-12T01:26:17.743Z] Top recommended movies for user id 72: [2026-02-12T01:26:17.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:26:17.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:26:17.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:26:17.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:26:17.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:26:17.743Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20132.193 ms) ====== [2026-02-12T01:26:17.743Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T01:26:17.743Z] GC before operation: completed in 175.552 ms, heap usage 191.247 MB -> 88.401 MB. [2026-02-12T01:26:20.783Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:26:23.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:26:27.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:26:29.070Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:26:31.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:26:33.028Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:26:35.000Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:26:35.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:26:36.920Z] 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. [2026-02-12T01:26:36.920Z] The best model improves the baseline by 14.52%. [2026-02-12T01:26:36.920Z] Top recommended movies for user id 72: [2026-02-12T01:26:36.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:26:36.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:26:36.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:26:36.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:26:36.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:26:36.920Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19232.057 ms) ====== [2026-02-12T01:26:36.920Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T01:26:36.920Z] GC before operation: completed in 165.542 ms, heap usage 464.830 MB -> 88.681 MB. [2026-02-12T01:26:39.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:26:43.008Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:26:46.054Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:26:48.056Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:26:50.032Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:26:52.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:26:53.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:26:54.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:26:55.898Z] 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. [2026-02-12T01:26:55.898Z] The best model improves the baseline by 14.52%. [2026-02-12T01:26:55.898Z] Top recommended movies for user id 72: [2026-02-12T01:26:55.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:26:55.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:26:55.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:26:55.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:26:55.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:26:55.898Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18805.423 ms) ====== [2026-02-12T01:26:55.898Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T01:26:55.898Z] GC before operation: completed in 189.207 ms, heap usage 438.688 MB -> 89.006 MB. [2026-02-12T01:26:58.941Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:27:01.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:27:05.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:27:07.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:27:08.997Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:27:10.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:27:11.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:27:13.907Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:27:13.907Z] 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. [2026-02-12T01:27:13.907Z] The best model improves the baseline by 14.52%. [2026-02-12T01:27:14.868Z] Top recommended movies for user id 72: [2026-02-12T01:27:14.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:27:14.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:27:14.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:27:14.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:27:14.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:27:14.868Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18369.402 ms) ====== [2026-02-12T01:27:14.868Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T01:27:14.868Z] GC before operation: completed in 174.290 ms, heap usage 515.522 MB -> 89.017 MB. [2026-02-12T01:27:17.911Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:27:19.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:27:22.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:27:26.030Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:27:28.001Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:27:29.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:27:31.946Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:27:32.906Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:27:33.868Z] 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. [2026-02-12T01:27:33.868Z] The best model improves the baseline by 14.52%. [2026-02-12T01:27:33.868Z] Top recommended movies for user id 72: [2026-02-12T01:27:33.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:27:33.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:27:33.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:27:33.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:27:33.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:27:33.868Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19127.056 ms) ====== [2026-02-12T01:27:33.868Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T01:27:33.868Z] GC before operation: completed in 171.024 ms, heap usage 388.309 MB -> 89.048 MB. [2026-02-12T01:27:36.905Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:27:39.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:27:42.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:27:45.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:27:47.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:27:49.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:27:51.062Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:27:53.090Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:27:53.090Z] 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. [2026-02-12T01:27:53.090Z] The best model improves the baseline by 14.52%. [2026-02-12T01:27:53.090Z] Top recommended movies for user id 72: [2026-02-12T01:27:53.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:27:53.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:27:53.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:27:53.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:27:53.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:27:53.090Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19271.360 ms) ====== [2026-02-12T01:27:53.090Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T01:27:53.090Z] GC before operation: completed in 175.404 ms, heap usage 400.019 MB -> 88.905 MB. [2026-02-12T01:27:56.474Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:27:59.518Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:28:02.568Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:28:04.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:28:06.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:28:08.582Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:28:10.550Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:28:11.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:28:12.479Z] 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. [2026-02-12T01:28:12.479Z] The best model improves the baseline by 14.52%. [2026-02-12T01:28:12.479Z] Top recommended movies for user id 72: [2026-02-12T01:28:12.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:28:12.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:28:12.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:28:12.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:28:12.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:28:12.479Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19028.084 ms) ====== [2026-02-12T01:28:12.479Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T01:28:12.479Z] GC before operation: completed in 171.105 ms, heap usage 336.835 MB -> 89.003 MB. [2026-02-12T01:28:15.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:28:18.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:28:21.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:28:23.579Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:28:25.553Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:28:27.532Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:28:29.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:28:30.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:28:31.425Z] 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. [2026-02-12T01:28:31.425Z] The best model improves the baseline by 14.52%. [2026-02-12T01:28:31.425Z] Top recommended movies for user id 72: [2026-02-12T01:28:31.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:28:31.425Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:28:31.425Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:28:31.425Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:28:31.425Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:28:31.425Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18844.600 ms) ====== [2026-02-12T01:28:31.425Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T01:28:31.425Z] GC before operation: completed in 153.931 ms, heap usage 390.574 MB -> 88.816 MB. [2026-02-12T01:28:34.476Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:28:37.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:28:40.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:28:42.540Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:28:44.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:28:46.485Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:28:48.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:28:49.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:28:50.378Z] 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. [2026-02-12T01:28:50.378Z] The best model improves the baseline by 14.52%. [2026-02-12T01:28:50.378Z] Top recommended movies for user id 72: [2026-02-12T01:28:50.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:28:50.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:28:50.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:28:50.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:28:50.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:28:50.378Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18789.757 ms) ====== [2026-02-12T01:28:50.378Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T01:28:50.378Z] GC before operation: completed in 182.205 ms, heap usage 103.349 MB -> 88.569 MB. [2026-02-12T01:28:53.418Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:28:56.457Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:28:59.506Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:29:01.473Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:29:03.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:29:05.406Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:29:07.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:29:09.438Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:29:09.438Z] 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. [2026-02-12T01:29:09.438Z] The best model improves the baseline by 14.52%. [2026-02-12T01:29:09.438Z] Top recommended movies for user id 72: [2026-02-12T01:29:09.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:29:09.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:29:09.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:29:09.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:29:09.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:29:09.438Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19007.564 ms) ====== [2026-02-12T01:29:09.438Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T01:29:09.438Z] GC before operation: completed in 162.947 ms, heap usage 462.254 MB -> 89.293 MB. [2026-02-12T01:29:13.708Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:29:15.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:29:18.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:29:21.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:29:22.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:29:24.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:29:26.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:29:28.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:29:28.641Z] 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. [2026-02-12T01:29:28.641Z] The best model improves the baseline by 14.52%. [2026-02-12T01:29:28.641Z] Top recommended movies for user id 72: [2026-02-12T01:29:28.641Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:29:28.641Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:29:28.641Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:29:28.641Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:29:28.641Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:29:28.641Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19088.136 ms) ====== [2026-02-12T01:29:28.641Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T01:29:28.641Z] GC before operation: completed in 154.576 ms, heap usage 107.138 MB -> 88.709 MB. [2026-02-12T01:29:31.681Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:29:34.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:29:37.756Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:29:39.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:29:41.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:29:43.667Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:29:44.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:29:46.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:29:46.597Z] 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. [2026-02-12T01:29:46.597Z] The best model improves the baseline by 14.52%. [2026-02-12T01:29:46.597Z] Top recommended movies for user id 72: [2026-02-12T01:29:46.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:29:46.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:29:46.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:29:46.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:29:46.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:29:46.597Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18125.666 ms) ====== [2026-02-12T01:29:46.597Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T01:29:47.556Z] GC before operation: completed in 147.295 ms, heap usage 405.350 MB -> 89.233 MB. [2026-02-12T01:29:49.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:29:52.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:29:55.613Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:29:58.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:29:59.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:30:01.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:30:03.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:30:05.584Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:30:05.584Z] 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. [2026-02-12T01:30:05.584Z] The best model improves the baseline by 14.52%. [2026-02-12T01:30:05.584Z] Top recommended movies for user id 72: [2026-02-12T01:30:05.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:30:05.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:30:05.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:30:05.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:30:05.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:30:05.584Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18556.203 ms) ====== [2026-02-12T01:30:05.584Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T01:30:05.584Z] GC before operation: completed in 160.130 ms, heap usage 353.846 MB -> 88.976 MB. [2026-02-12T01:30:08.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:30:11.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:30:14.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:30:17.812Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:30:18.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:30:20.748Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:30:22.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:30:23.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:30:24.633Z] 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. [2026-02-12T01:30:24.633Z] The best model improves the baseline by 14.52%. [2026-02-12T01:30:24.633Z] Top recommended movies for user id 72: [2026-02-12T01:30:24.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:30:24.633Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:30:24.633Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:30:24.633Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:30:24.633Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:30:24.633Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18567.655 ms) ====== [2026-02-12T01:30:24.633Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T01:30:24.633Z] GC before operation: completed in 144.680 ms, heap usage 385.829 MB -> 89.154 MB. [2026-02-12T01:30:27.669Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:30:30.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:30:32.691Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:30:35.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:30:37.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:30:40.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:30:40.958Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:30:42.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:30:42.923Z] 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. [2026-02-12T01:30:42.923Z] The best model improves the baseline by 14.52%. [2026-02-12T01:30:42.923Z] Top recommended movies for user id 72: [2026-02-12T01:30:42.923Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:30:42.923Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:30:42.923Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:30:42.923Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:30:42.923Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:30:42.923Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18369.195 ms) ====== [2026-02-12T01:30:42.923Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T01:30:42.923Z] GC before operation: completed in 162.670 ms, heap usage 457.806 MB -> 89.073 MB. [2026-02-12T01:30:45.980Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:30:49.013Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:30:52.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:30:54.020Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:30:55.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:30:57.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:30:59.951Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:31:01.920Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:31:01.920Z] 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. [2026-02-12T01:31:01.920Z] The best model improves the baseline by 14.52%. [2026-02-12T01:31:01.920Z] Top recommended movies for user id 72: [2026-02-12T01:31:01.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:31:01.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:31:01.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:31:01.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:31:01.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:31:01.920Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18924.701 ms) ====== [2026-02-12T01:31:01.920Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T01:31:01.920Z] GC before operation: completed in 166.925 ms, heap usage 426.884 MB -> 89.082 MB. [2026-02-12T01:31:04.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:31:08.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:31:11.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:31:14.091Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:31:15.050Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:31:17.027Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:31:18.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:31:20.967Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:31:20.967Z] 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. [2026-02-12T01:31:20.967Z] The best model improves the baseline by 14.52%. [2026-02-12T01:31:20.967Z] Top recommended movies for user id 72: [2026-02-12T01:31:20.967Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:31:20.967Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:31:20.967Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:31:20.967Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:31:20.967Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:31:20.967Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18875.173 ms) ====== [2026-02-12T01:31:21.925Z] ----------------------------------- [2026-02-12T01:31:21.925Z] renaissance-movie-lens_0_PASSED [2026-02-12T01:31:21.925Z] ----------------------------------- [2026-02-12T01:31:21.925Z] [2026-02-12T01:31:21.925Z] TEST TEARDOWN: [2026-02-12T01:31:21.925Z] Nothing to be done for teardown. [2026-02-12T01:31:21.925Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 01:31:21 2026 Epoch Time (ms): 1770859881214