[2026-02-04T23:01:03.829Z] Running test renaissance-movie-lens_0 ... [2026-02-04T23:01:03.829Z] =============================================== [2026-02-04T23:01:03.829Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 23:01:02 2026 Epoch Time (ms): 1770246062597 [2026-02-04T23:01:03.829Z] variation: NoOptions [2026-02-04T23:01:03.829Z] JVM_OPTIONS: [2026-02-04T23:01:03.829Z] { \ [2026-02-04T23:01:03.829Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T23:01:03.829Z] echo "Nothing to be done for setup."; \ [2026-02-04T23:01:03.829Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702448225921/renaissance-movie-lens_0"; \ [2026-02-04T23:01:03.829Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702448225921/renaissance-movie-lens_0"; \ [2026-02-04T23:01:03.829Z] echo ""; echo "TESTING:"; \ [2026-02-04T23:01:03.829Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702448225921/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T23:01:03.829Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702448225921/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T23:01:03.829Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T23:01:03.829Z] echo "Nothing to be done for teardown."; \ [2026-02-04T23:01:03.829Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17702448225921/TestTargetResult"; [2026-02-04T23:01:03.829Z] [2026-02-04T23:01:03.829Z] TEST SETUP: [2026-02-04T23:01:03.829Z] Nothing to be done for setup. [2026-02-04T23:01:03.829Z] [2026-02-04T23:01:03.829Z] TESTING: [2026-02-04T23:01:10.447Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-04T23:01:20.315Z] 23:01:19.610 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-04T23:01:23.302Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T23:01:23.810Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T23:01:23.810Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T23:01:23.810Z] GC before operation: completed in 123.591 ms, heap usage 229.741 MB -> 75.897 MB. [2026-02-04T23:01:33.834Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:01:38.310Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:01:42.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:01:47.009Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:01:49.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:01:51.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:01:53.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:01:56.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:01:56.571Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T23:01:56.571Z] The best model improves the baseline by 14.52%. [2026-02-04T23:01:56.989Z] Top recommended movies for user id 72: [2026-02-04T23:01:56.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:01:56.990Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:01:56.990Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:01:56.990Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:01:56.990Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:01:56.990Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (33343.191 ms) ====== [2026-02-04T23:01:56.990Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T23:01:57.381Z] GC before operation: completed in 150.435 ms, heap usage 557.270 MB -> 93.680 MB. [2026-02-04T23:02:01.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:02:05.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:02:08.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:02:11.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:02:14.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:02:16.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:02:19.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:02:21.088Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:02:21.088Z] 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. [2026-02-04T23:02:21.591Z] The best model improves the baseline by 14.52%. [2026-02-04T23:02:21.591Z] Top recommended movies for user id 72: [2026-02-04T23:02:21.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:02:21.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:02:21.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:02:21.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:02:21.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:02:21.591Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24491.533 ms) ====== [2026-02-04T23:02:21.591Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T23:02:22.011Z] GC before operation: completed in 148.117 ms, heap usage 234.336 MB -> 88.653 MB. [2026-02-04T23:02:25.289Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:02:28.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:02:32.057Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:02:35.484Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:02:37.446Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:02:39.368Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:02:41.347Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:02:43.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:02:43.203Z] 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. [2026-02-04T23:02:43.203Z] The best model improves the baseline by 14.52%. [2026-02-04T23:02:43.595Z] Top recommended movies for user id 72: [2026-02-04T23:02:43.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:02:43.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:02:43.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:02:43.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:02:43.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:02:43.595Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21821.024 ms) ====== [2026-02-04T23:02:43.595Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T23:02:43.975Z] GC before operation: completed in 171.307 ms, heap usage 269.002 MB -> 89.365 MB. [2026-02-04T23:02:47.316Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:02:50.269Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:02:53.639Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:02:57.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:02:59.340Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:03:01.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:03:03.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:03:04.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:03:05.351Z] 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. [2026-02-04T23:03:05.351Z] The best model improves the baseline by 14.52%. [2026-02-04T23:03:05.770Z] Top recommended movies for user id 72: [2026-02-04T23:03:05.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:03:05.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:03:05.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:03:05.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:03:05.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:03:05.770Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21875.049 ms) ====== [2026-02-04T23:03:05.770Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T23:03:05.770Z] GC before operation: completed in 150.453 ms, heap usage 360.833 MB -> 89.874 MB. [2026-02-04T23:03:09.098Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:03:12.315Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:03:15.750Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:03:18.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:03:20.855Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:03:22.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:03:25.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:03:27.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:03:27.643Z] 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. [2026-02-04T23:03:27.643Z] The best model improves the baseline by 14.52%. [2026-02-04T23:03:27.643Z] Top recommended movies for user id 72: [2026-02-04T23:03:27.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:03:27.643Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:03:27.643Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:03:27.643Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:03:27.643Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:03:27.643Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21894.527 ms) ====== [2026-02-04T23:03:27.643Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T23:03:28.009Z] GC before operation: completed in 138.964 ms, heap usage 368.085 MB -> 89.811 MB. [2026-02-04T23:03:31.233Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:03:34.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:03:37.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:03:40.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:03:42.823Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:03:44.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:03:46.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:03:48.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:03:48.729Z] 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. [2026-02-04T23:03:48.729Z] The best model improves the baseline by 14.52%. [2026-02-04T23:03:49.111Z] Top recommended movies for user id 72: [2026-02-04T23:03:49.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:03:49.111Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:03:49.111Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:03:49.111Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:03:49.111Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:03:49.111Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21146.125 ms) ====== [2026-02-04T23:03:49.111Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T23:03:49.111Z] GC before operation: completed in 146.403 ms, heap usage 381.083 MB -> 90.163 MB. [2026-02-04T23:03:52.380Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:03:55.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:03:58.890Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:04:01.388Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:04:03.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:04:05.179Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:04:07.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:04:09.005Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:04:09.452Z] 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. [2026-02-04T23:04:09.816Z] The best model improves the baseline by 14.52%. [2026-02-04T23:04:09.816Z] Top recommended movies for user id 72: [2026-02-04T23:04:09.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:04:09.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:04:09.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:04:09.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:04:09.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:04:09.816Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20637.368 ms) ====== [2026-02-04T23:04:09.816Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T23:04:09.817Z] GC before operation: completed in 139.588 ms, heap usage 131.043 MB -> 89.772 MB. [2026-02-04T23:04:13.258Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:04:15.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:04:19.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:04:22.790Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:04:24.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:04:28.268Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:04:28.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:04:29.862Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:04:30.249Z] 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. [2026-02-04T23:04:30.249Z] The best model improves the baseline by 14.52%. [2026-02-04T23:04:30.655Z] Top recommended movies for user id 72: [2026-02-04T23:04:30.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:04:30.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:04:30.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:04:30.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:04:30.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:04:30.655Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20502.031 ms) ====== [2026-02-04T23:04:30.655Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T23:04:30.655Z] GC before operation: completed in 140.834 ms, heap usage 362.691 MB -> 90.345 MB. [2026-02-04T23:04:33.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:04:36.501Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:04:39.960Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:04:42.461Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:04:43.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:04:45.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:04:47.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:04:49.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:04:49.431Z] 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. [2026-02-04T23:04:49.431Z] The best model improves the baseline by 14.52%. [2026-02-04T23:04:49.798Z] Top recommended movies for user id 72: [2026-02-04T23:04:49.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:04:49.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:04:49.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:04:49.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:04:49.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:04:49.798Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19101.665 ms) ====== [2026-02-04T23:04:49.798Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T23:04:49.798Z] GC before operation: completed in 144.717 ms, heap usage 363.641 MB -> 90.159 MB. [2026-02-04T23:04:53.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:04:55.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:04:58.955Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:05:01.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:05:03.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:05:05.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:05:07.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:05:08.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:05:09.767Z] 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. [2026-02-04T23:05:09.767Z] The best model improves the baseline by 14.52%. [2026-02-04T23:05:09.767Z] Top recommended movies for user id 72: [2026-02-04T23:05:09.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:05:09.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:05:09.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:05:09.767Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:05:09.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:05:09.767Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19976.696 ms) ====== [2026-02-04T23:05:09.767Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T23:05:10.132Z] GC before operation: completed in 147.132 ms, heap usage 144.666 MB -> 90.043 MB. [2026-02-04T23:05:13.532Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:05:16.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:05:19.265Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:05:22.503Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:05:24.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:05:26.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:05:28.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:05:29.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:05:30.239Z] 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. [2026-02-04T23:05:30.239Z] The best model improves the baseline by 14.52%. [2026-02-04T23:05:30.239Z] Top recommended movies for user id 72: [2026-02-04T23:05:30.239Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:05:30.239Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:05:30.239Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:05:30.239Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:05:30.239Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:05:30.239Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20429.645 ms) ====== [2026-02-04T23:05:30.239Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T23:05:30.623Z] GC before operation: completed in 146.244 ms, heap usage 442.429 MB -> 90.267 MB. [2026-02-04T23:05:33.837Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:05:36.422Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:05:39.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:05:42.387Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:05:43.706Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:05:45.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:05:47.381Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:05:49.260Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:05:49.260Z] 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. [2026-02-04T23:05:49.260Z] The best model improves the baseline by 14.52%. [2026-02-04T23:05:49.755Z] Top recommended movies for user id 72: [2026-02-04T23:05:49.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:05:49.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:05:49.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:05:49.755Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:05:49.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:05:49.755Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19100.765 ms) ====== [2026-02-04T23:05:49.755Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T23:05:49.755Z] GC before operation: completed in 140.782 ms, heap usage 237.745 MB -> 90.134 MB. [2026-02-04T23:05:53.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:05:55.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:05:58.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:06:01.544Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:06:02.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:06:04.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:06:06.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:06:07.974Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:06:08.351Z] 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. [2026-02-04T23:06:08.351Z] The best model improves the baseline by 14.52%. [2026-02-04T23:06:08.725Z] Top recommended movies for user id 72: [2026-02-04T23:06:08.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:06:08.725Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:06:08.725Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:06:08.725Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:06:08.725Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:06:08.725Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18874.688 ms) ====== [2026-02-04T23:06:08.725Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T23:06:08.725Z] GC before operation: completed in 147.618 ms, heap usage 243.749 MB -> 90.329 MB. [2026-02-04T23:06:11.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:06:14.489Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:06:17.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:06:21.066Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:06:22.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:06:24.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:06:26.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:06:28.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:06:28.911Z] 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. [2026-02-04T23:06:28.911Z] The best model improves the baseline by 14.52%. [2026-02-04T23:06:28.911Z] Top recommended movies for user id 72: [2026-02-04T23:06:28.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:06:28.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:06:28.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:06:28.911Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:06:28.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:06:28.911Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20260.412 ms) ====== [2026-02-04T23:06:28.911Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T23:06:29.273Z] GC before operation: completed in 149.154 ms, heap usage 289.194 MB -> 90.257 MB. [2026-02-04T23:06:32.469Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:06:35.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:06:38.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:06:41.348Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:06:43.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:06:45.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:06:46.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:06:48.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:06:49.175Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T23:06:49.175Z] The best model improves the baseline by 14.52%. [2026-02-04T23:06:49.175Z] Top recommended movies for user id 72: [2026-02-04T23:06:49.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:06:49.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:06:49.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:06:49.176Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:06:49.176Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:06:49.176Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20047.708 ms) ====== [2026-02-04T23:06:49.176Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T23:06:49.537Z] GC before operation: completed in 141.766 ms, heap usage 500.772 MB -> 90.710 MB. [2026-02-04T23:06:52.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:06:55.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:06:58.698Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:07:02.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:07:03.410Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:07:05.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:07:07.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:07:08.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:07:09.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-04T23:07:09.435Z] The best model improves the baseline by 14.52%. [2026-02-04T23:07:09.435Z] Top recommended movies for user id 72: [2026-02-04T23:07:09.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:07:09.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:07:09.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:07:09.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:07:09.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:07:09.435Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20096.066 ms) ====== [2026-02-04T23:07:09.435Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T23:07:09.802Z] GC before operation: completed in 138.976 ms, heap usage 257.259 MB -> 90.318 MB. [2026-02-04T23:07:12.984Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:07:15.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:07:18.803Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:07:21.326Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:07:23.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:07:25.098Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:07:27.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:07:28.917Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:07:29.353Z] 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. [2026-02-04T23:07:29.353Z] The best model improves the baseline by 14.52%. [2026-02-04T23:07:29.353Z] Top recommended movies for user id 72: [2026-02-04T23:07:29.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:07:29.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:07:29.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:07:29.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:07:29.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:07:29.353Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19782.096 ms) ====== [2026-02-04T23:07:29.353Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T23:07:29.724Z] GC before operation: completed in 147.485 ms, heap usage 502.048 MB -> 90.638 MB. [2026-02-04T23:07:32.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:07:35.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:07:38.739Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:07:42.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:07:43.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:07:45.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:07:47.221Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:07:49.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:07:49.688Z] 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. [2026-02-04T23:07:49.688Z] The best model improves the baseline by 14.52%. [2026-02-04T23:07:50.072Z] Top recommended movies for user id 72: [2026-02-04T23:07:50.072Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:07:50.072Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:07:50.072Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:07:50.073Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:07:50.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:07:50.073Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20331.264 ms) ====== [2026-02-04T23:07:50.073Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T23:07:50.073Z] GC before operation: completed in 142.399 ms, heap usage 206.901 MB -> 90.068 MB. [2026-02-04T23:07:53.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:07:55.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:07:59.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:08:02.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:08:03.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:08:05.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:08:07.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:08:09.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:08:09.560Z] 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. [2026-02-04T23:08:09.560Z] The best model improves the baseline by 14.52%. [2026-02-04T23:08:09.929Z] Top recommended movies for user id 72: [2026-02-04T23:08:09.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:08:09.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:08:09.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:08:09.929Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:08:09.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:08:09.929Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19809.614 ms) ====== [2026-02-04T23:08:09.929Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T23:08:09.929Z] GC before operation: completed in 143.337 ms, heap usage 364.214 MB -> 90.447 MB. [2026-02-04T23:08:13.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T23:08:15.986Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T23:08:19.254Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T23:08:21.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T23:08:23.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T23:08:25.538Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T23:08:27.528Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T23:08:29.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T23:08:29.491Z] 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. [2026-02-04T23:08:29.869Z] The best model improves the baseline by 14.52%. [2026-02-04T23:08:29.869Z] Top recommended movies for user id 72: [2026-02-04T23:08:29.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T23:08:29.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T23:08:29.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T23:08:29.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T23:08:29.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T23:08:29.869Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19971.483 ms) ====== [2026-02-04T23:08:30.670Z] ----------------------------------- [2026-02-04T23:08:30.670Z] renaissance-movie-lens_0_PASSED [2026-02-04T23:08:30.670Z] ----------------------------------- [2026-02-04T23:08:30.670Z] [2026-02-04T23:08:30.670Z] TEST TEARDOWN: [2026-02-04T23:08:30.670Z] Nothing to be done for teardown. [2026-02-04T23:08:30.670Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 23:08:30 2026 Epoch Time (ms): 1770246510425