[2026-02-11T23:37:57.123Z] Running test renaissance-movie-lens_0 ... [2026-02-11T23:37:57.123Z] =============================================== [2026-02-11T23:37:57.123Z] renaissance-movie-lens_0 Start Time: Wed Feb 11 23:37:56 2026 Epoch Time (ms): 1770853076283 [2026-02-11T23:37:57.123Z] variation: NoOptions [2026-02-11T23:37:57.123Z] JVM_OPTIONS: [2026-02-11T23:37:57.123Z] { \ [2026-02-11T23:37:57.123Z] echo ""; echo "TEST SETUP:"; \ [2026-02-11T23:37:57.123Z] echo "Nothing to be done for setup."; \ [2026-02-11T23:37:57.123Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708514915483/renaissance-movie-lens_0"; \ [2026-02-11T23:37:57.123Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708514915483/renaissance-movie-lens_0"; \ [2026-02-11T23:37:57.123Z] echo ""; echo "TESTING:"; \ [2026-02-11T23:37:57.123Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708514915483/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-11T23:37:57.123Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708514915483/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-11T23:37:57.123Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-11T23:37:57.123Z] echo "Nothing to be done for teardown."; \ [2026-02-11T23:37:57.123Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17708514915483/TestTargetResult"; [2026-02-11T23:37:57.123Z] [2026-02-11T23:37:57.123Z] TEST SETUP: [2026-02-11T23:37:57.123Z] Nothing to be done for setup. [2026-02-11T23:37:57.123Z] [2026-02-11T23:37:57.123Z] TESTING: [2026-02-11T23:38:08.972Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-11T23:38:24.895Z] 23:38:23.656 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. [2026-02-11T23:38:29.267Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-11T23:38:30.025Z] Training: 60056, validation: 20285, test: 19854 [2026-02-11T23:38:30.025Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-11T23:38:30.025Z] GC before operation: completed in 244.850 ms, heap usage 208.682 MB -> 75.822 MB. [2026-02-11T23:38:46.022Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:38:55.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:04.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:11.379Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:39:16.900Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:39:21.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:39:26.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:39:31.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:39:31.260Z] 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. [2026-02-11T23:39:31.260Z] The best model improves the baseline by 14.52%. [2026-02-11T23:39:32.017Z] Top recommended movies for user id 72: [2026-02-11T23:39:32.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:39:32.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:39:32.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:39:32.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:39:32.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:39:32.017Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (61984.497 ms) ====== [2026-02-11T23:39:32.017Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-11T23:39:32.776Z] GC before operation: completed in 274.979 ms, heap usage 255.052 MB -> 86.519 MB. [2026-02-11T23:39:39.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:39:46.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:39:52.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:39:57.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:01.035Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:04.431Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:08.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:12.191Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:12.191Z] 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. [2026-02-11T23:40:12.191Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:12.963Z] Top recommended movies for user id 72: [2026-02-11T23:40:12.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:12.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:12.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:12.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:12.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:12.963Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (40443.032 ms) ====== [2026-02-11T23:40:12.963Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-11T23:40:12.963Z] GC before operation: completed in 313.925 ms, heap usage 164.348 MB -> 88.540 MB. [2026-02-11T23:40:19.721Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:40:25.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:40:32.094Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:40:37.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:40:40.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:40:43.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:40:48.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:40:51.516Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:40:51.516Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:40:52.280Z] The best model improves the baseline by 14.52%. [2026-02-11T23:40:52.280Z] Top recommended movies for user id 72: [2026-02-11T23:40:52.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:40:52.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:40:52.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:40:52.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:40:52.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:40:52.280Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (39016.006 ms) ====== [2026-02-11T23:40:52.280Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-11T23:40:52.280Z] GC before operation: completed in 386.926 ms, heap usage 787.200 MB -> 93.430 MB. [2026-02-11T23:40:59.064Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:05.953Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:11.504Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:17.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:41:21.937Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:41:25.299Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:41:28.652Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:41:32.140Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:41:32.889Z] 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. [2026-02-11T23:41:32.889Z] The best model improves the baseline by 14.52%. [2026-02-11T23:41:32.889Z] Top recommended movies for user id 72: [2026-02-11T23:41:32.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:41:32.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:41:32.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:41:32.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:41:32.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:41:32.889Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (40415.693 ms) ====== [2026-02-11T23:41:32.889Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-11T23:41:33.639Z] GC before operation: completed in 249.723 ms, heap usage 237.287 MB -> 89.571 MB. [2026-02-11T23:41:39.253Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:41:44.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:41:51.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:41:58.461Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:03.193Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:07.573Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:10.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:14.308Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:14.308Z] 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. [2026-02-11T23:42:15.060Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:15.060Z] Top recommended movies for user id 72: [2026-02-11T23:42:15.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:15.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:15.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:15.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:15.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:15.060Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (41795.590 ms) ====== [2026-02-11T23:42:15.060Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-11T23:42:15.060Z] GC before operation: completed in 324.592 ms, heap usage 522.819 MB -> 93.145 MB. [2026-02-11T23:42:21.870Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:42:27.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:42:34.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:42:38.515Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:42:42.909Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:42:46.272Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:42:49.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:42:53.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:42:54.280Z] 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. [2026-02-11T23:42:54.280Z] The best model improves the baseline by 14.52%. [2026-02-11T23:42:54.280Z] Top recommended movies for user id 72: [2026-02-11T23:42:54.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:42:54.280Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:42:54.280Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:42:54.280Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:42:54.280Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:42:54.280Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (39047.884 ms) ====== [2026-02-11T23:42:54.280Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-11T23:42:55.041Z] GC before operation: completed in 321.243 ms, heap usage 537.015 MB -> 93.574 MB. [2026-02-11T23:43:00.569Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:43:06.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:43:11.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:43:17.283Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:43:20.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:43:24.014Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:43:28.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:43:31.796Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:43:32.554Z] 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. [2026-02-11T23:43:32.554Z] The best model improves the baseline by 14.52%. [2026-02-11T23:43:32.554Z] Top recommended movies for user id 72: [2026-02-11T23:43:32.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:43:32.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:43:32.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:43:32.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:43:32.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:43:32.554Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (37958.332 ms) ====== [2026-02-11T23:43:32.554Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-11T23:43:33.300Z] GC before operation: completed in 312.718 ms, heap usage 465.980 MB -> 90.201 MB. [2026-02-11T23:43:39.338Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:43:44.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:43:50.350Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:43:55.869Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:43:59.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:44:03.726Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:44:07.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:44:09.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:44:11.072Z] 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. [2026-02-11T23:44:11.072Z] The best model improves the baseline by 14.52%. [2026-02-11T23:44:11.824Z] Top recommended movies for user id 72: [2026-02-11T23:44:11.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:44:11.824Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:44:11.824Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:44:11.824Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:44:11.824Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:44:11.824Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (38469.510 ms) ====== [2026-02-11T23:44:11.824Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-11T23:44:11.824Z] GC before operation: completed in 286.779 ms, heap usage 466.524 MB -> 90.426 MB. [2026-02-11T23:44:19.982Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:44:24.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:44:31.305Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:44:35.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:44:39.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:44:43.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:44:46.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:44:50.269Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:44:50.269Z] 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. [2026-02-11T23:44:50.269Z] The best model improves the baseline by 14.52%. [2026-02-11T23:44:51.029Z] Top recommended movies for user id 72: [2026-02-11T23:44:52.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:44:52.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:44:52.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:44:52.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:44:52.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:44:52.581Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (39165.788 ms) ====== [2026-02-11T23:44:52.581Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-11T23:44:52.581Z] GC before operation: completed in 249.255 ms, heap usage 129.452 MB -> 92.196 MB. [2026-02-11T23:45:00.739Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:45:06.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:45:12.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:45:19.106Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:45:22.457Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:45:24.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:45:28.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:45:30.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:45:33.034Z] 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. [2026-02-11T23:45:33.034Z] The best model improves the baseline by 14.52%. [2026-02-11T23:45:33.792Z] Top recommended movies for user id 72: [2026-02-11T23:45:33.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:45:33.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:45:33.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:45:33.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:45:33.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:45:33.792Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42390.689 ms) ====== [2026-02-11T23:45:33.792Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-11T23:45:33.792Z] GC before operation: completed in 328.658 ms, heap usage 229.755 MB -> 91.849 MB. [2026-02-11T23:45:40.547Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:45:44.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:45:50.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:45:55.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:45:58.711Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:46:02.070Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:46:04.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:46:07.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:46:07.868Z] 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. [2026-02-11T23:46:07.868Z] The best model improves the baseline by 14.52%. [2026-02-11T23:46:08.621Z] Top recommended movies for user id 72: [2026-02-11T23:46:08.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:46:08.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:46:08.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:46:08.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:46:08.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:46:08.621Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (34442.363 ms) ====== [2026-02-11T23:46:08.621Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-11T23:46:08.621Z] GC before operation: completed in 273.351 ms, heap usage 202.731 MB -> 91.539 MB. [2026-02-11T23:46:14.130Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:46:18.533Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:46:24.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:46:29.576Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:46:32.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:46:35.435Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:46:38.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:46:41.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:46:41.492Z] 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. [2026-02-11T23:46:41.492Z] The best model improves the baseline by 14.52%. [2026-02-11T23:46:42.251Z] Top recommended movies for user id 72: [2026-02-11T23:46:42.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:46:42.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:46:42.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:46:42.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:46:42.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:46:42.251Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (33477.538 ms) ====== [2026-02-11T23:46:42.251Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-11T23:46:42.251Z] GC before operation: completed in 233.687 ms, heap usage 184.342 MB -> 89.975 MB. [2026-02-11T23:46:47.765Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:46:52.150Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:46:57.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:47:02.023Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:47:04.436Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:47:07.779Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:47:10.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:47:13.558Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:47:13.558Z] 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. [2026-02-11T23:47:13.558Z] The best model improves the baseline by 14.52%. [2026-02-11T23:47:13.559Z] Top recommended movies for user id 72: [2026-02-11T23:47:13.559Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:47:13.559Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:47:13.559Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:47:13.559Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:47:13.559Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:47:13.559Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31457.737 ms) ====== [2026-02-11T23:47:13.559Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-11T23:47:14.315Z] GC before operation: completed in 220.576 ms, heap usage 257.233 MB -> 90.214 MB. [2026-02-11T23:47:18.690Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:47:23.634Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:47:29.150Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:47:34.654Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:47:37.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:47:40.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:47:43.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:47:47.197Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:47:47.951Z] 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. [2026-02-11T23:47:47.951Z] The best model improves the baseline by 14.52%. [2026-02-11T23:47:48.701Z] Top recommended movies for user id 72: [2026-02-11T23:47:48.701Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:47:48.701Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:47:48.701Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:47:48.701Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:47:48.701Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:47:48.701Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (34391.011 ms) ====== [2026-02-11T23:47:48.701Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-11T23:47:48.701Z] GC before operation: completed in 265.165 ms, heap usage 264.065 MB -> 90.074 MB. [2026-02-11T23:47:54.895Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:47:58.738Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:48:04.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:48:08.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:48:11.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:48:15.349Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:48:18.710Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:48:22.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:48:22.073Z] 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. [2026-02-11T23:48:22.073Z] The best model improves the baseline by 14.52%. [2026-02-11T23:48:22.852Z] Top recommended movies for user id 72: [2026-02-11T23:48:22.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:48:22.852Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:48:22.852Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:48:22.852Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:48:22.852Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:48:22.852Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (33862.252 ms) ====== [2026-02-11T23:48:22.852Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-11T23:48:22.852Z] GC before operation: completed in 311.261 ms, heap usage 444.159 MB -> 90.545 MB. [2026-02-11T23:48:28.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:48:33.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:48:39.407Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:48:43.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:48:47.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:48:50.797Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:48:55.162Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:48:58.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:48:58.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:48:58.527Z] The best model improves the baseline by 14.52%. [2026-02-11T23:48:59.285Z] Top recommended movies for user id 72: [2026-02-11T23:48:59.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:48:59.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:48:59.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:48:59.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:48:59.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:48:59.285Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (36325.239 ms) ====== [2026-02-11T23:48:59.285Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-11T23:48:59.285Z] GC before operation: completed in 327.159 ms, heap usage 291.619 MB -> 90.134 MB. [2026-02-11T23:49:06.177Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:49:10.564Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:49:17.385Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:49:22.898Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:49:26.277Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:49:29.621Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:49:33.533Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:49:36.903Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:49:37.649Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-11T23:49:37.649Z] The best model improves the baseline by 14.52%. [2026-02-11T23:49:37.649Z] Top recommended movies for user id 72: [2026-02-11T23:49:37.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:49:37.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:49:37.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:49:37.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:49:37.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:49:37.649Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (38255.636 ms) ====== [2026-02-11T23:49:37.649Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-11T23:49:38.409Z] GC before operation: completed in 384.048 ms, heap usage 300.953 MB -> 90.264 MB. [2026-02-11T23:49:43.931Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:49:49.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:49:56.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:50:00.605Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:50:03.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:50:07.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:50:10.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:50:14.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:50:14.856Z] 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. [2026-02-11T23:50:14.856Z] The best model improves the baseline by 14.52%. [2026-02-11T23:50:14.856Z] Top recommended movies for user id 72: [2026-02-11T23:50:14.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:50:14.856Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:50:14.856Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:50:14.856Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:50:14.856Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:50:14.856Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36665.557 ms) ====== [2026-02-11T23:50:14.856Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-11T23:50:14.856Z] GC before operation: completed in 259.803 ms, heap usage 549.559 MB -> 93.667 MB. [2026-02-11T23:50:20.601Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:50:24.985Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:50:31.805Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:50:36.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:50:39.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:50:43.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:50:46.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:50:50.015Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:50:50.015Z] 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. [2026-02-11T23:50:50.015Z] The best model improves the baseline by 14.52%. [2026-02-11T23:50:50.781Z] Top recommended movies for user id 72: [2026-02-11T23:50:50.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:50:50.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:50:50.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:50:50.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:50:50.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:50:50.781Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (35318.370 ms) ====== [2026-02-11T23:50:50.781Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-11T23:50:50.781Z] GC before operation: completed in 306.149 ms, heap usage 362.020 MB -> 90.298 MB. [2026-02-11T23:50:56.288Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-11T23:51:03.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-11T23:51:07.823Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-11T23:51:13.314Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-11T23:51:15.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-11T23:51:20.828Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-11T23:51:24.210Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-11T23:51:26.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-11T23:51:27.405Z] 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. [2026-02-11T23:51:27.405Z] The best model improves the baseline by 14.52%. [2026-02-11T23:51:27.405Z] Top recommended movies for user id 72: [2026-02-11T23:51:27.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-11T23:51:27.405Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-11T23:51:27.405Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-11T23:51:27.405Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-11T23:51:27.405Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-11T23:51:27.405Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (36689.155 ms) ====== [2026-02-11T23:51:32.120Z] ----------------------------------- [2026-02-11T23:51:32.120Z] renaissance-movie-lens_0_PASSED [2026-02-11T23:51:32.120Z] ----------------------------------- [2026-02-11T23:51:32.120Z] [2026-02-11T23:51:32.120Z] TEST TEARDOWN: [2026-02-11T23:51:32.120Z] Nothing to be done for teardown. [2026-02-11T23:51:32.120Z] renaissance-movie-lens_0 Finish Time: Wed Feb 11 23:51:31 2026 Epoch Time (ms): 1770853891303