[2026-02-04T22:33:52.950Z] Running test renaissance-movie-lens_0 ... [2026-02-04T22:33:52.950Z] =============================================== [2026-02-04T22:33:52.950Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 17:33:52 2026 Epoch Time (ms): 1770244432899 [2026-02-04T22:33:53.338Z] variation: NoOptions [2026-02-04T22:33:53.338Z] JVM_OPTIONS: [2026-02-04T22:33:53.338Z] { \ [2026-02-04T22:33:53.338Z] echo ""; echo "TEST SETUP:"; \ [2026-02-04T22:33:53.338Z] echo "Nothing to be done for setup."; \ [2026-02-04T22:33:53.338Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702440758694/renaissance-movie-lens_0"; \ [2026-02-04T22:33:53.338Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702440758694/renaissance-movie-lens_0"; \ [2026-02-04T22:33:53.338Z] echo ""; echo "TESTING:"; \ [2026-02-04T22:33:53.338Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702440758694/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-04T22:33:53.338Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702440758694/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-04T22:33:53.338Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-04T22:33:53.338Z] echo "Nothing to be done for teardown."; \ [2026-02-04T22:33:53.338Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17702440758694/TestTargetResult"; [2026-02-04T22:33:53.338Z] [2026-02-04T22:33:53.338Z] TEST SETUP: [2026-02-04T22:33:53.338Z] Nothing to be done for setup. [2026-02-04T22:33:53.338Z] [2026-02-04T22:33:53.338Z] TESTING: [2026-02-04T22:33:56.770Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-04T22:33:59.450Z] 17:33:58.930 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-04T22:34:00.444Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-04T22:34:00.444Z] Training: 60056, validation: 20285, test: 19854 [2026-02-04T22:34:00.444Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-04T22:34:00.444Z] GC before operation: completed in 55.007 ms, heap usage 331.309 MB -> 75.876 MB. [2026-02-04T22:34:03.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:05.316Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:06.813Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:09.116Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:09.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:09.990Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:10.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:34:11.692Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:34:11.692Z] 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. [2026-02-04T22:34:11.692Z] The best model improves the baseline by 14.52%. [2026-02-04T22:34:11.692Z] Top recommended movies for user id 72: [2026-02-04T22:34:11.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:34:11.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:34:11.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:34:11.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:34:11.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:34:11.736Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11258.160 ms) ====== [2026-02-04T22:34:11.736Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-04T22:34:12.117Z] GC before operation: completed in 52.959 ms, heap usage 415.528 MB -> 92.519 MB. [2026-02-04T22:34:13.568Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:14.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:19.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:19.224Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:19.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:19.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:19.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:34:20.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:34:20.505Z] 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. [2026-02-04T22:34:20.505Z] The best model improves the baseline by 14.52%. [2026-02-04T22:34:20.885Z] Top recommended movies for user id 72: [2026-02-04T22:34:20.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:34:20.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:34:20.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:34:20.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:34:20.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:34:20.886Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (8802.293 ms) ====== [2026-02-04T22:34:20.886Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-04T22:34:20.886Z] GC before operation: completed in 49.185 ms, heap usage 308.120 MB -> 88.844 MB. [2026-02-04T22:34:22.240Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:23.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:24.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:25.741Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:27.103Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:27.920Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:28.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:34:29.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:34:30.011Z] 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. [2026-02-04T22:34:30.011Z] The best model improves the baseline by 14.52%. [2026-02-04T22:34:30.011Z] Top recommended movies for user id 72: [2026-02-04T22:34:30.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:34:30.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:34:30.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:34:30.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:34:30.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:34:30.011Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9269.007 ms) ====== [2026-02-04T22:34:30.011Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-04T22:34:30.011Z] GC before operation: completed in 50.501 ms, heap usage 416.636 MB -> 89.725 MB. [2026-02-04T22:34:31.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:33.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:35.300Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:36.116Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:37.005Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:37.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:38.671Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:34:39.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:34:39.672Z] 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. [2026-02-04T22:34:39.672Z] The best model improves the baseline by 14.52%. [2026-02-04T22:34:39.672Z] Top recommended movies for user id 72: [2026-02-04T22:34:39.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:34:39.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:34:39.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:34:39.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:34:39.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:34:39.672Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9660.711 ms) ====== [2026-02-04T22:34:39.672Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-04T22:34:39.672Z] GC before operation: completed in 57.844 ms, heap usage 217.497 MB -> 89.761 MB. [2026-02-04T22:34:41.546Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:42.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:44.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:45.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:46.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:47.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:48.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:34:49.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:34:49.001Z] 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. [2026-02-04T22:34:49.001Z] The best model improves the baseline by 14.52%. [2026-02-04T22:34:49.397Z] Top recommended movies for user id 72: [2026-02-04T22:34:49.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:34:49.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:34:49.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:34:49.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:34:49.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:34:49.397Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9407.327 ms) ====== [2026-02-04T22:34:49.397Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-04T22:34:49.397Z] GC before operation: completed in 53.386 ms, heap usage 324.251 MB -> 89.849 MB. [2026-02-04T22:34:50.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:34:52.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:34:53.554Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:34:56.544Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:34:56.975Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:34:58.235Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:34:59.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:00.514Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:00.514Z] 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. [2026-02-04T22:35:00.514Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:00.514Z] Top recommended movies for user id 72: [2026-02-04T22:35:00.514Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:00.514Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:00.514Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:00.514Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:00.514Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:00.514Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (11320.721 ms) ====== [2026-02-04T22:35:00.514Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-04T22:35:00.514Z] GC before operation: completed in 80.708 ms, heap usage 441.210 MB -> 90.359 MB. [2026-02-04T22:35:02.513Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:04.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:05.882Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:07.913Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:08.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:09.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:10.560Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:11.430Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:11.430Z] 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. [2026-02-04T22:35:11.430Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:11.430Z] Top recommended movies for user id 72: [2026-02-04T22:35:11.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:11.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:11.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:11.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:11.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:11.430Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10931.172 ms) ====== [2026-02-04T22:35:11.430Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-04T22:35:11.820Z] GC before operation: completed in 45.226 ms, heap usage 428.129 MB -> 90.288 MB. [2026-02-04T22:35:13.220Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:14.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:16.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:18.060Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:19.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:19.791Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:20.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:20.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:20.813Z] 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. [2026-02-04T22:35:20.813Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:20.813Z] Top recommended movies for user id 72: [2026-02-04T22:35:20.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:20.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:20.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:20.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:20.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:20.813Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9213.107 ms) ====== [2026-02-04T22:35:20.813Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-04T22:35:20.813Z] GC before operation: completed in 49.026 ms, heap usage 202.246 MB -> 90.237 MB. [2026-02-04T22:35:22.061Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:25.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:25.098Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:25.943Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:26.897Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:27.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:28.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:29.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:29.933Z] 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. [2026-02-04T22:35:29.934Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:29.934Z] Top recommended movies for user id 72: [2026-02-04T22:35:29.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:29.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:29.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:29.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:29.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:29.934Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8926.885 ms) ====== [2026-02-04T22:35:29.934Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-04T22:35:29.934Z] GC before operation: completed in 45.818 ms, heap usage 442.014 MB -> 90.417 MB. [2026-02-04T22:35:31.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:32.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:34.126Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:36.120Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:36.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:38.642Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:38.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:39.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:39.218Z] 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. [2026-02-04T22:35:39.218Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:39.218Z] Top recommended movies for user id 72: [2026-02-04T22:35:39.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:39.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:39.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:39.218Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:39.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:39.218Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9323.151 ms) ====== [2026-02-04T22:35:39.218Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-04T22:35:39.218Z] GC before operation: completed in 42.290 ms, heap usage 383.716 MB -> 90.502 MB. [2026-02-04T22:35:40.555Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:44.444Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:44.444Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:44.444Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:44.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:45.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:46.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:46.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:46.510Z] 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. [2026-02-04T22:35:46.510Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:46.510Z] Top recommended movies for user id 72: [2026-02-04T22:35:46.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:46.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:46.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:46.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:46.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:46.510Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (7342.668 ms) ====== [2026-02-04T22:35:46.510Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-04T22:35:46.510Z] GC before operation: completed in 42.213 ms, heap usage 457.475 MB -> 90.572 MB. [2026-02-04T22:35:47.580Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:48.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:50.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:50.488Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:51.722Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:35:51.722Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:35:52.633Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:35:53.095Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:35:53.574Z] 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. [2026-02-04T22:35:53.574Z] The best model improves the baseline by 14.52%. [2026-02-04T22:35:53.574Z] Top recommended movies for user id 72: [2026-02-04T22:35:53.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:35:53.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:35:53.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:35:53.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:35:53.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:35:53.574Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6771.456 ms) ====== [2026-02-04T22:35:53.574Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-04T22:35:53.574Z] GC before operation: completed in 46.755 ms, heap usage 188.280 MB -> 90.343 MB. [2026-02-04T22:35:54.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:35:55.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:35:56.434Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:35:57.787Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:35:58.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:02.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:02.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:02.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:02.356Z] 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. [2026-02-04T22:36:02.356Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:02.356Z] Top recommended movies for user id 72: [2026-02-04T22:36:02.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:02.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:02.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:02.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:02.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:02.356Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6996.400 ms) ====== [2026-02-04T22:36:02.356Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-04T22:36:02.356Z] GC before operation: completed in 42.458 ms, heap usage 148.140 MB -> 90.310 MB. [2026-02-04T22:36:02.356Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:02.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:06.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:06.644Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:06.644Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:06.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:07.126Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:07.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:07.538Z] 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. [2026-02-04T22:36:07.538Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:07.538Z] Top recommended movies for user id 72: [2026-02-04T22:36:07.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:07.538Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:07.538Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:07.538Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:07.538Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:07.538Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (7211.121 ms) ====== [2026-02-04T22:36:07.538Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-04T22:36:08.074Z] GC before operation: completed in 44.721 ms, heap usage 621.369 MB -> 94.015 MB. [2026-02-04T22:36:08.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:10.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:11.232Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:12.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:12.632Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:13.675Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:16.470Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:16.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:16.470Z] 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. [2026-02-04T22:36:16.470Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:16.470Z] Top recommended movies for user id 72: [2026-02-04T22:36:16.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:16.470Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:16.470Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:16.470Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:16.470Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:16.470Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7272.098 ms) ====== [2026-02-04T22:36:16.470Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-04T22:36:16.470Z] GC before operation: completed in 44.976 ms, heap usage 493.141 MB -> 90.922 MB. [2026-02-04T22:36:16.470Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:17.095Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:21.623Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:21.623Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:22.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:22.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:22.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:22.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:22.060Z] 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. [2026-02-04T22:36:22.060Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:22.060Z] Top recommended movies for user id 72: [2026-02-04T22:36:22.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:22.060Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:22.060Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:22.060Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:22.060Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:22.060Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (6987.197 ms) ====== [2026-02-04T22:36:22.060Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-04T22:36:22.060Z] GC before operation: completed in 42.764 ms, heap usage 467.898 MB -> 90.601 MB. [2026-02-04T22:36:23.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:26.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:26.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:28.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:28.403Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:28.403Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:30.719Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:30.719Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:30.719Z] 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. [2026-02-04T22:36:30.719Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:30.719Z] Top recommended movies for user id 72: [2026-02-04T22:36:30.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:30.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:30.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:30.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:30.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:30.719Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7425.782 ms) ====== [2026-02-04T22:36:30.719Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-04T22:36:30.719Z] GC before operation: completed in 41.972 ms, heap usage 324.676 MB -> 90.505 MB. [2026-02-04T22:36:30.719Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:32.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:34.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:34.543Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:34.941Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:35.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:36.252Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:37.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:37.064Z] 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. [2026-02-04T22:36:37.064Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:37.064Z] Top recommended movies for user id 72: [2026-02-04T22:36:37.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:37.064Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:37.064Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:37.064Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:37.064Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:37.064Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (7496.799 ms) ====== [2026-02-04T22:36:37.064Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-04T22:36:37.064Z] GC before operation: completed in 56.071 ms, heap usage 484.490 MB -> 90.673 MB. [2026-02-04T22:36:38.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:39.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:40.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:41.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:42.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:43.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:43.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:44.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:44.374Z] 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. [2026-02-04T22:36:44.374Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:44.374Z] Top recommended movies for user id 72: [2026-02-04T22:36:44.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:44.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:44.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:44.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:44.374Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:44.374Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7346.590 ms) ====== [2026-02-04T22:36:44.374Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-04T22:36:44.374Z] GC before operation: completed in 40.969 ms, heap usage 492.404 MB -> 93.227 MB. [2026-02-04T22:36:45.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-04T22:36:46.613Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-04T22:36:47.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-04T22:36:49.087Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-04T22:36:50.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-04T22:36:50.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-04T22:36:51.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-04T22:36:52.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-04T22:36:52.511Z] 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. [2026-02-04T22:36:52.511Z] The best model improves the baseline by 14.52%. [2026-02-04T22:36:52.511Z] Top recommended movies for user id 72: [2026-02-04T22:36:52.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-04T22:36:52.511Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-04T22:36:52.511Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-04T22:36:52.511Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-04T22:36:52.511Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-04T22:36:52.511Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7990.631 ms) ====== [2026-02-04T22:36:53.053Z] ----------------------------------- [2026-02-04T22:36:53.053Z] renaissance-movie-lens_0_PASSED [2026-02-04T22:36:53.053Z] ----------------------------------- [2026-02-04T22:36:53.053Z] [2026-02-04T22:36:53.053Z] TEST TEARDOWN: [2026-02-04T22:36:53.053Z] Nothing to be done for teardown. [2026-02-04T22:36:53.053Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 17:36:52 2026 Epoch Time (ms): 1770244612530