[2026-02-12T01:10:05.106Z] Running test renaissance-movie-lens_0 ... [2026-02-12T01:10:05.106Z] =============================================== [2026-02-12T01:10:05.106Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 01:10:04 2026 Epoch Time (ms): 1770858604177 [2026-02-12T01:10:05.106Z] variation: NoOptions [2026-02-12T01:10:05.106Z] JVM_OPTIONS: [2026-02-12T01:10:05.106Z] { \ [2026-02-12T01:10:05.106Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T01:10:05.106Z] echo "Nothing to be done for setup."; \ [2026-02-12T01:10:05.106Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708558156466/renaissance-movie-lens_0"; \ [2026-02-12T01:10:05.106Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708558156466/renaissance-movie-lens_0"; \ [2026-02-12T01:10:05.106Z] echo ""; echo "TESTING:"; \ [2026-02-12T01:10:05.106Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708558156466/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T01:10:05.106Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708558156466/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T01:10:05.106Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T01:10:05.106Z] echo "Nothing to be done for teardown."; \ [2026-02-12T01:10:05.106Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17708558156466/TestTargetResult"; [2026-02-12T01:10:05.106Z] [2026-02-12T01:10:05.106Z] TEST SETUP: [2026-02-12T01:10:05.106Z] Nothing to be done for setup. [2026-02-12T01:10:05.106Z] [2026-02-12T01:10:05.106Z] TESTING: [2026-02-12T01:10:15.013Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T01:10:28.747Z] 01:10:28.255 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. [2026-02-12T01:10:33.042Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T01:10:34.018Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T01:10:34.018Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T01:10:34.018Z] GC before operation: completed in 254.835 ms, heap usage 304.114 MB -> 76.046 MB. [2026-02-12T01:10:46.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:10:53.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:11:00.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:11:05.814Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:11:08.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:11:11.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:11:15.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:11:18.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:11:19.139Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:11:19.139Z] The best model improves the baseline by 14.52%. [2026-02-12T01:11:19.139Z] Top recommended movies for user id 72: [2026-02-12T01:11:19.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:11:19.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:11:19.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:11:19.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:11:19.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:11:19.139Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (45159.311 ms) ====== [2026-02-12T01:11:19.139Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T01:11:19.139Z] GC before operation: completed in 220.254 ms, heap usage 368.594 MB -> 90.821 MB. [2026-02-12T01:11:24.596Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:11:30.184Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:11:35.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:11:39.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:11:42.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:11:44.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:11:49.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:11:51.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:11:51.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:11:51.169Z] The best model improves the baseline by 14.52%. [2026-02-12T01:11:52.149Z] Top recommended movies for user id 72: [2026-02-12T01:11:52.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:11:52.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:11:52.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:11:52.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:11:52.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:11:52.149Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32223.303 ms) ====== [2026-02-12T01:11:52.149Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T01:11:52.149Z] GC before operation: completed in 225.733 ms, heap usage 264.351 MB -> 88.732 MB. [2026-02-12T01:11:56.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:12:00.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:12:04.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:12:08.693Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:12:11.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:12:13.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:12:16.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:12:18.819Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:12:18.819Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:12:19.792Z] The best model improves the baseline by 14.52%. [2026-02-12T01:12:19.792Z] Top recommended movies for user id 72: [2026-02-12T01:12:19.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:12:19.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:12:19.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:12:19.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:12:19.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:12:19.792Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27645.525 ms) ====== [2026-02-12T01:12:19.792Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T01:12:19.792Z] GC before operation: completed in 222.276 ms, heap usage 253.938 MB -> 89.374 MB. [2026-02-12T01:12:24.012Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:12:28.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:12:32.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:12:36.696Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:12:38.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:12:41.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:12:44.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:12:46.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:12:46.827Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:12:46.827Z] The best model improves the baseline by 14.52%. [2026-02-12T01:12:47.814Z] Top recommended movies for user id 72: [2026-02-12T01:12:47.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:12:47.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:12:47.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:12:47.814Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:12:47.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:12:47.814Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (27675.484 ms) ====== [2026-02-12T01:12:47.814Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T01:12:47.814Z] GC before operation: completed in 186.910 ms, heap usage 304.103 MB -> 89.791 MB. [2026-02-12T01:12:52.036Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:12:56.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:13:00.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:13:04.684Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:13:06.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:13:09.855Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:13:12.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:13:13.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:13:14.518Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:13:14.519Z] The best model improves the baseline by 14.52%. [2026-02-12T01:13:14.519Z] Top recommended movies for user id 72: [2026-02-12T01:13:14.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:13:14.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:13:14.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:13:14.519Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:13:14.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:13:14.519Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26854.689 ms) ====== [2026-02-12T01:13:14.519Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T01:13:14.519Z] GC before operation: completed in 249.217 ms, heap usage 186.409 MB -> 89.590 MB. [2026-02-12T01:13:19.986Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:13:23.049Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:13:27.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:13:30.332Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:13:32.330Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:13:34.341Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:13:37.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:13:39.450Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:13:39.450Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:13:39.450Z] The best model improves the baseline by 14.52%. [2026-02-12T01:13:40.415Z] Top recommended movies for user id 72: [2026-02-12T01:13:40.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:13:40.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:13:40.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:13:40.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:13:40.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:13:40.415Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25129.480 ms) ====== [2026-02-12T01:13:40.415Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T01:13:40.415Z] GC before operation: completed in 241.457 ms, heap usage 211.635 MB -> 89.989 MB. [2026-02-12T01:13:44.662Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:13:47.727Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:13:51.939Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:13:56.357Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:13:58.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:14:00.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:14:02.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:14:04.286Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:14:05.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:14:05.251Z] The best model improves the baseline by 14.52%. [2026-02-12T01:14:05.251Z] Top recommended movies for user id 72: [2026-02-12T01:14:05.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:14:05.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:14:05.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:14:05.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:14:05.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:14:05.251Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24909.682 ms) ====== [2026-02-12T01:14:05.251Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T01:14:05.251Z] GC before operation: completed in 181.145 ms, heap usage 312.995 MB -> 90.144 MB. [2026-02-12T01:14:09.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:14:12.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:14:15.632Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:14:19.852Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:14:21.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:14:23.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:14:26.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:14:27.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:14:27.505Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:14:27.505Z] The best model improves the baseline by 14.52%. [2026-02-12T01:14:28.479Z] Top recommended movies for user id 72: [2026-02-12T01:14:28.479Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:14:28.479Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:14:28.479Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:14:28.479Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:14:28.479Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:14:28.479Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22812.255 ms) ====== [2026-02-12T01:14:28.479Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T01:14:28.479Z] GC before operation: completed in 195.177 ms, heap usage 709.317 MB -> 94.071 MB. [2026-02-12T01:14:32.702Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:14:35.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:14:38.825Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:14:41.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:14:43.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:14:45.868Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:14:48.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:14:50.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:14:50.918Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:14:50.918Z] The best model improves the baseline by 14.52%. [2026-02-12T01:14:50.918Z] Top recommended movies for user id 72: [2026-02-12T01:14:50.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:14:50.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:14:50.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:14:50.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:14:50.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:14:50.918Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22795.365 ms) ====== [2026-02-12T01:14:50.918Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T01:14:50.918Z] GC before operation: completed in 185.831 ms, heap usage 480.431 MB -> 90.404 MB. [2026-02-12T01:14:55.138Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:14:58.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:15:01.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:15:04.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:15:06.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:15:08.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:15:10.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:15:11.372Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:15:12.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:15:12.343Z] The best model improves the baseline by 14.52%. [2026-02-12T01:15:12.343Z] Top recommended movies for user id 72: [2026-02-12T01:15:12.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:15:12.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:15:12.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:15:12.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:15:12.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:15:12.343Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20974.315 ms) ====== [2026-02-12T01:15:12.343Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T01:15:12.343Z] GC before operation: completed in 232.395 ms, heap usage 516.148 MB -> 90.647 MB. [2026-02-12T01:15:15.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:15:19.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:15:22.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:15:25.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:15:27.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:15:29.701Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:15:31.697Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:15:33.682Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:15:33.682Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:15:34.647Z] The best model improves the baseline by 14.52%. [2026-02-12T01:15:34.647Z] Top recommended movies for user id 72: [2026-02-12T01:15:34.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:15:34.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:15:34.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:15:34.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:15:34.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:15:34.647Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21922.075 ms) ====== [2026-02-12T01:15:34.647Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T01:15:34.647Z] GC before operation: completed in 183.269 ms, heap usage 203.664 MB -> 90.010 MB. [2026-02-12T01:15:38.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:15:41.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:15:44.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:15:47.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:15:49.676Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:15:51.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:15:53.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:15:56.754Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:15:56.754Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:15:56.754Z] The best model improves the baseline by 14.52%. [2026-02-12T01:15:56.754Z] Top recommended movies for user id 72: [2026-02-12T01:15:56.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:15:56.754Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:15:56.754Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:15:56.754Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:15:56.754Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:15:56.754Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22194.449 ms) ====== [2026-02-12T01:15:56.754Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T01:15:56.754Z] GC before operation: completed in 244.352 ms, heap usage 119.735 MB -> 92.064 MB. [2026-02-12T01:16:00.997Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:16:05.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:16:10.735Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:16:14.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:16:16.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:16:20.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:16:24.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:16:26.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:16:26.341Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:16:26.341Z] The best model improves the baseline by 14.52%. [2026-02-12T01:16:27.340Z] Top recommended movies for user id 72: [2026-02-12T01:16:27.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:16:27.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:16:27.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:16:27.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:16:27.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:16:27.340Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30001.226 ms) ====== [2026-02-12T01:16:27.340Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T01:16:27.340Z] GC before operation: completed in 225.864 ms, heap usage 718.469 MB -> 94.106 MB. [2026-02-12T01:16:31.756Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:16:35.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:16:41.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:16:44.969Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:16:48.267Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:16:52.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:16:54.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:16:56.290Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:16:57.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:16:57.265Z] The best model improves the baseline by 14.52%. [2026-02-12T01:16:57.265Z] Top recommended movies for user id 72: [2026-02-12T01:16:57.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:16:57.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:16:57.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:16:57.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:16:57.265Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:16:57.265Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30028.781 ms) ====== [2026-02-12T01:16:57.265Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T01:16:57.265Z] GC before operation: completed in 237.975 ms, heap usage 480.573 MB -> 90.442 MB. [2026-02-12T01:17:02.720Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:17:06.968Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:17:11.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:17:16.642Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:17:18.751Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:17:20.731Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:17:23.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:17:27.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:17:27.055Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:17:27.055Z] The best model improves the baseline by 14.52%. [2026-02-12T01:17:27.055Z] Top recommended movies for user id 72: [2026-02-12T01:17:27.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:17:27.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:17:27.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:17:27.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:17:27.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:17:27.055Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29782.880 ms) ====== [2026-02-12T01:17:27.055Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T01:17:27.055Z] GC before operation: completed in 187.982 ms, heap usage 372.725 MB -> 90.564 MB. [2026-02-12T01:17:31.313Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:17:35.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:17:41.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:17:46.594Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:17:49.882Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:17:53.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:17:56.316Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:17:59.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:17:59.483Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:17:59.483Z] The best model improves the baseline by 14.52%. [2026-02-12T01:18:00.456Z] Top recommended movies for user id 72: [2026-02-12T01:18:00.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:18:00.456Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:18:00.456Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:18:00.456Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:18:00.456Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:18:00.456Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (32459.615 ms) ====== [2026-02-12T01:18:00.456Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T01:18:00.456Z] GC before operation: completed in 253.813 ms, heap usage 233.037 MB -> 90.208 MB. [2026-02-12T01:18:06.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:18:10.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:18:16.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:18:22.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:18:26.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:18:30.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:18:34.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:18:39.335Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:18:39.335Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:18:39.335Z] The best model improves the baseline by 14.52%. [2026-02-12T01:18:40.515Z] Top recommended movies for user id 72: [2026-02-12T01:18:40.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:18:40.515Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:18:40.515Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:18:40.515Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:18:40.515Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:18:40.515Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (39712.683 ms) ====== [2026-02-12T01:18:40.515Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T01:18:40.515Z] GC before operation: completed in 736.771 ms, heap usage 211.361 MB -> 90.197 MB. [2026-02-12T01:18:47.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:18:54.524Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:19:03.246Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:19:10.239Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:19:15.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:19:20.217Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:19:26.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:19:30.968Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:19:31.981Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:19:31.981Z] The best model improves the baseline by 14.52%. [2026-02-12T01:19:32.966Z] Top recommended movies for user id 72: [2026-02-12T01:19:32.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:19:32.966Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:19:32.966Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:19:32.966Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:19:32.966Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:19:32.966Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51798.156 ms) ====== [2026-02-12T01:19:32.966Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-12T01:19:32.966Z] GC before operation: completed in 423.963 ms, heap usage 672.002 MB -> 93.951 MB. [2026-02-12T01:19:39.820Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:19:45.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:19:52.716Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:19:59.734Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:20:04.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:20:08.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:20:12.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:20:16.680Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:20:17.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:20:17.661Z] The best model improves the baseline by 14.52%. [2026-02-12T01:20:17.661Z] Top recommended movies for user id 72: [2026-02-12T01:20:17.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:20:17.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:20:17.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:20:17.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:20:17.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:20:17.661Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44928.553 ms) ====== [2026-02-12T01:20:17.661Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-12T01:20:17.661Z] GC before operation: completed in 283.270 ms, heap usage 503.232 MB -> 90.599 MB. [2026-02-12T01:20:24.500Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T01:20:30.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T01:20:34.253Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T01:20:38.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T01:20:41.570Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T01:20:43.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T01:20:46.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T01:20:48.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T01:20:49.289Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T01:20:49.289Z] The best model improves the baseline by 14.52%. [2026-02-12T01:20:49.289Z] Top recommended movies for user id 72: [2026-02-12T01:20:49.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T01:20:49.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T01:20:49.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T01:20:49.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T01:20:49.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T01:20:49.289Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (31265.842 ms) ====== [2026-02-12T01:20:51.277Z] ----------------------------------- [2026-02-12T01:20:51.277Z] renaissance-movie-lens_0_PASSED [2026-02-12T01:20:51.278Z] ----------------------------------- [2026-02-12T01:20:51.278Z] [2026-02-12T01:20:51.278Z] TEST TEARDOWN: [2026-02-12T01:20:51.278Z] Nothing to be done for teardown. [2026-02-12T01:20:51.278Z] renaissance-movie-lens_0 Finish Time: Thu Feb 12 01:20:50 2026 Epoch Time (ms): 1770859250581