[2026-01-10T10:45:54.942Z] Running test renaissance-movie-lens_0 ... [2026-01-10T10:45:54.942Z] =============================================== [2026-01-10T10:45:54.942Z] renaissance-movie-lens_0 Start Time: Sat Jan 10 10:45:54 2026 Epoch Time (ms): 1768041954553 [2026-01-10T10:45:54.942Z] variation: NoOptions [2026-01-10T10:45:54.942Z] JVM_OPTIONS: [2026-01-10T10:45:54.942Z] { \ [2026-01-10T10:45:54.942Z] echo ""; echo "TEST SETUP:"; \ [2026-01-10T10:45:54.942Z] echo "Nothing to be done for setup."; \ [2026-01-10T10:45:54.942Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17680377394286/renaissance-movie-lens_0"; \ [2026-01-10T10:45:54.942Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17680377394286/renaissance-movie-lens_0"; \ [2026-01-10T10:45:54.942Z] echo ""; echo "TESTING:"; \ [2026-01-10T10:45:54.942Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17680377394286/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-10T10:45:54.942Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17680377394286/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-10T10:45:54.942Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-10T10:45:54.942Z] echo "Nothing to be done for teardown."; \ [2026-01-10T10:45:54.942Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17680377394286/TestTargetResult"; [2026-01-10T10:45:54.942Z] [2026-01-10T10:45:54.942Z] TEST SETUP: [2026-01-10T10:45:54.942Z] Nothing to be done for setup. [2026-01-10T10:45:54.942Z] [2026-01-10T10:45:54.942Z] TESTING: [2026-01-10T10:46:10.015Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-01-10T10:46:28.647Z] 10:46:26.464 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-01-10T10:46:31.070Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-10T10:46:33.511Z] Training: 60056, validation: 20285, test: 19854 [2026-01-10T10:46:33.511Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-10T10:46:33.511Z] GC before operation: completed in 321.684 ms, heap usage 151.222 MB -> 74.394 MB. [2026-01-10T10:46:49.799Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:46:58.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:47:06.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:47:12.158Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:47:16.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:47:22.052Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:47:25.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:47:30.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:47:31.675Z] 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. [2026-01-10T10:47:31.675Z] The best model improves the baseline by 14.52%. [2026-01-10T10:47:32.428Z] Top recommended movies for user id 72: [2026-01-10T10:47:32.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:47:32.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:47:32.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:47:32.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:47:32.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:47:32.428Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (59038.034 ms) ====== [2026-01-10T10:47:32.428Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-10T10:47:32.428Z] GC before operation: completed in 365.790 ms, heap usage 342.122 MB -> 85.498 MB. [2026-01-10T10:47:39.692Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:47:47.855Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:47:54.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:48:01.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:48:04.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:48:09.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:48:13.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:48:18.064Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:48:18.826Z] 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. [2026-01-10T10:48:18.826Z] The best model improves the baseline by 14.52%. [2026-01-10T10:48:20.378Z] Top recommended movies for user id 72: [2026-01-10T10:48:20.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:48:20.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:48:20.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:48:20.378Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:48:20.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:48:20.378Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46529.073 ms) ====== [2026-01-10T10:48:20.378Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-10T10:48:20.378Z] GC before operation: completed in 281.693 ms, heap usage 225.213 MB -> 87.406 MB. [2026-01-10T10:48:26.427Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:48:33.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:48:38.699Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:48:45.458Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:48:48.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:48:52.639Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:48:56.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:48:59.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:49:00.225Z] 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. [2026-01-10T10:49:00.225Z] The best model improves the baseline by 14.52%. [2026-01-10T10:49:00.225Z] Top recommended movies for user id 72: [2026-01-10T10:49:00.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:49:00.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:49:00.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:49:00.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:49:00.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:49:00.225Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (40928.941 ms) ====== [2026-01-10T10:49:00.225Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-10T10:49:00.977Z] GC before operation: completed in 253.435 ms, heap usage 139.499 MB -> 87.955 MB. [2026-01-10T10:49:06.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:49:12.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:49:17.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:49:23.040Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:49:27.417Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:49:30.812Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:49:35.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:49:38.597Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:49:38.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-01-10T10:49:38.597Z] The best model improves the baseline by 14.52%. [2026-01-10T10:49:39.348Z] Top recommended movies for user id 72: [2026-01-10T10:49:39.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:49:39.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:49:39.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:49:39.348Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:49:39.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:49:39.348Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (38388.342 ms) ====== [2026-01-10T10:49:39.348Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-10T10:49:39.348Z] GC before operation: completed in 307.157 ms, heap usage 123.505 MB -> 88.231 MB. [2026-01-10T10:49:46.120Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:49:50.997Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:49:57.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:50:03.271Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:50:06.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:50:09.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:50:15.558Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:50:18.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:50:19.695Z] 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. [2026-01-10T10:50:19.696Z] The best model improves the baseline by 14.52%. [2026-01-10T10:50:20.452Z] Top recommended movies for user id 72: [2026-01-10T10:50:20.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:50:20.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:50:20.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:50:20.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:50:20.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:50:20.452Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (40611.430 ms) ====== [2026-01-10T10:50:20.452Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-10T10:50:20.452Z] GC before operation: completed in 285.184 ms, heap usage 208.900 MB -> 88.260 MB. [2026-01-10T10:50:25.977Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:50:33.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:50:38.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:50:44.297Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:50:47.683Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:50:51.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:50:55.585Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:50:58.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:50:58.816Z] 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. [2026-01-10T10:50:58.816Z] The best model improves the baseline by 14.52%. [2026-01-10T10:50:58.816Z] Top recommended movies for user id 72: [2026-01-10T10:50:58.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:50:58.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:50:58.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:50:58.816Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:50:58.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:50:58.816Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (38500.064 ms) ====== [2026-01-10T10:50:58.816Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-10T10:50:58.816Z] GC before operation: completed in 238.359 ms, heap usage 401.693 MB -> 88.841 MB. [2026-01-10T10:51:04.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:51:09.810Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:51:16.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:51:21.490Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:51:24.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:51:28.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:51:31.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:51:34.981Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:51:35.735Z] 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. [2026-01-10T10:51:35.735Z] The best model improves the baseline by 14.52%. [2026-01-10T10:51:35.735Z] Top recommended movies for user id 72: [2026-01-10T10:51:35.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:51:35.735Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:51:35.735Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:51:35.735Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:51:35.735Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:51:35.735Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (36851.005 ms) ====== [2026-01-10T10:51:35.735Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-10T10:51:36.494Z] GC before operation: completed in 312.564 ms, heap usage 363.786 MB -> 88.784 MB. [2026-01-10T10:51:42.027Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:51:47.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:51:53.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:51:58.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:52:01.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:52:05.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:52:09.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:52:12.553Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:52:13.318Z] 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. [2026-01-10T10:52:13.318Z] The best model improves the baseline by 14.52%. [2026-01-10T10:52:13.318Z] Top recommended movies for user id 72: [2026-01-10T10:52:13.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:52:13.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:52:13.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:52:13.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:52:13.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:52:13.318Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37319.830 ms) ====== [2026-01-10T10:52:13.318Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-10T10:52:14.078Z] GC before operation: completed in 334.834 ms, heap usage 190.970 MB -> 88.769 MB. [2026-01-10T10:52:19.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:52:25.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:52:31.894Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:52:37.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:52:40.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:52:44.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:52:47.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:52:50.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:52:51.616Z] 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. [2026-01-10T10:52:51.616Z] The best model improves the baseline by 14.52%. [2026-01-10T10:52:51.616Z] Top recommended movies for user id 72: [2026-01-10T10:52:51.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:52:51.616Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:52:51.616Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:52:51.616Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:52:51.616Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:52:51.616Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (37742.757 ms) ====== [2026-01-10T10:52:51.616Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-10T10:52:52.363Z] GC before operation: completed in 331.713 ms, heap usage 165.591 MB -> 88.609 MB. [2026-01-10T10:52:56.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:53:02.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:53:09.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:53:13.479Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:53:16.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:53:20.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:53:23.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:53:27.930Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:53:27.930Z] 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. [2026-01-10T10:53:27.930Z] The best model improves the baseline by 14.52%. [2026-01-10T10:53:28.686Z] Top recommended movies for user id 72: [2026-01-10T10:53:28.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:53:28.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:53:28.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:53:28.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:53:28.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:53:28.686Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (36359.172 ms) ====== [2026-01-10T10:53:28.686Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-10T10:53:28.686Z] GC before operation: completed in 325.362 ms, heap usage 116.719 MB -> 88.709 MB. [2026-01-10T10:53:35.424Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:53:39.813Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:53:45.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:53:51.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:53:54.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:53:58.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:54:01.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:54:04.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:54:04.795Z] 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. [2026-01-10T10:54:05.552Z] The best model improves the baseline by 14.52%. [2026-01-10T10:54:05.552Z] Top recommended movies for user id 72: [2026-01-10T10:54:05.552Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:54:05.552Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:54:05.552Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:54:05.552Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:54:05.552Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:54:05.552Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36800.931 ms) ====== [2026-01-10T10:54:05.552Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-10T10:54:05.552Z] GC before operation: completed in 294.503 ms, heap usage 190.862 MB -> 88.530 MB. [2026-01-10T10:54:12.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:54:23.797Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:54:31.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:54:35.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:54:38.782Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:54:41.205Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:54:45.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:54:48.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:54:48.771Z] 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. [2026-01-10T10:54:48.771Z] The best model improves the baseline by 14.52%. [2026-01-10T10:54:48.771Z] Top recommended movies for user id 72: [2026-01-10T10:54:48.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:54:48.771Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:54:48.771Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:54:48.771Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:54:48.771Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:54:48.771Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (43086.683 ms) ====== [2026-01-10T10:54:48.771Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-10T10:54:49.521Z] GC before operation: completed in 294.528 ms, heap usage 333.025 MB -> 88.913 MB. [2026-01-10T10:54:55.033Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:55:00.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:55:06.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:55:11.620Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:55:14.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:55:18.863Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:55:22.240Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:55:25.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:55:25.608Z] 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. [2026-01-10T10:55:25.608Z] The best model improves the baseline by 14.52%. [2026-01-10T10:55:26.361Z] Top recommended movies for user id 72: [2026-01-10T10:55:26.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:55:26.361Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:55:26.361Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:55:26.361Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:55:26.361Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:55:26.361Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (37082.630 ms) ====== [2026-01-10T10:55:26.361Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-10T10:55:27.126Z] GC before operation: completed in 505.134 ms, heap usage 143.917 MB -> 88.749 MB. [2026-01-10T10:55:32.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:55:39.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:55:44.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:55:51.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:55:56.392Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:55:59.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:56:03.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:56:08.117Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:56:08.117Z] 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. [2026-01-10T10:56:08.117Z] The best model improves the baseline by 14.52%. [2026-01-10T10:56:08.874Z] Top recommended movies for user id 72: [2026-01-10T10:56:08.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:56:08.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:56:08.875Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:56:08.875Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:56:08.875Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:56:08.875Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41784.997 ms) ====== [2026-01-10T10:56:08.875Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-10T10:56:08.875Z] GC before operation: completed in 299.980 ms, heap usage 268.205 MB -> 88.794 MB. [2026-01-10T10:56:15.658Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:56:21.168Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:56:27.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:56:34.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:56:38.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:56:42.628Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:56:46.013Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:56:49.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:56:50.173Z] 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. [2026-01-10T10:56:50.173Z] The best model improves the baseline by 14.52%. [2026-01-10T10:56:50.932Z] Top recommended movies for user id 72: [2026-01-10T10:56:50.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:56:50.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:56:50.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:56:50.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:56:50.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:56:50.932Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (41758.333 ms) ====== [2026-01-10T10:56:50.932Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-10T10:56:50.932Z] GC before operation: completed in 305.537 ms, heap usage 329.886 MB -> 89.071 MB. [2026-01-10T10:56:58.198Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:57:03.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:57:10.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:57:17.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:57:20.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:57:24.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:57:28.430Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:57:31.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:57:32.576Z] 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. [2026-01-10T10:57:32.576Z] The best model improves the baseline by 14.52%. [2026-01-10T10:57:32.576Z] Top recommended movies for user id 72: [2026-01-10T10:57:32.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:57:32.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:57:32.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:57:32.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:57:32.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:57:32.576Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (41954.948 ms) ====== [2026-01-10T10:57:32.576Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-10T10:57:33.324Z] GC before operation: completed in 326.107 ms, heap usage 230.091 MB -> 88.778 MB. [2026-01-10T10:57:40.607Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:57:46.129Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:57:52.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:57:58.574Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:58:01.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:58:06.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:58:10.743Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:58:14.131Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:58:14.900Z] 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. [2026-01-10T10:58:14.900Z] The best model improves the baseline by 14.52%. [2026-01-10T10:58:15.663Z] Top recommended movies for user id 72: [2026-01-10T10:58:15.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:58:15.663Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:58:15.663Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:58:15.663Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:58:15.663Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:58:15.663Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42219.659 ms) ====== [2026-01-10T10:58:15.663Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-10T10:58:15.663Z] GC before operation: completed in 293.982 ms, heap usage 221.568 MB -> 88.842 MB. [2026-01-10T10:58:22.440Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:58:29.742Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:58:36.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:58:43.389Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:58:46.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:58:51.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:58:55.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:58:59.153Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:58:59.916Z] 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. [2026-01-10T10:58:59.916Z] The best model improves the baseline by 14.52%. [2026-01-10T10:58:59.916Z] Top recommended movies for user id 72: [2026-01-10T10:58:59.916Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:58:59.916Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:58:59.916Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:58:59.916Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:58:59.916Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:58:59.916Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44425.196 ms) ====== [2026-01-10T10:58:59.916Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-10T10:59:00.672Z] GC before operation: completed in 340.204 ms, heap usage 112.149 MB -> 88.590 MB. [2026-01-10T10:59:06.229Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:59:13.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T10:59:18.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T10:59:25.324Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T10:59:28.705Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T10:59:32.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T10:59:35.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T10:59:39.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T10:59:39.877Z] 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. [2026-01-10T10:59:39.877Z] The best model improves the baseline by 14.52%. [2026-01-10T10:59:40.629Z] Top recommended movies for user id 72: [2026-01-10T10:59:40.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T10:59:40.629Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T10:59:40.629Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T10:59:40.629Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T10:59:40.629Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T10:59:40.629Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (39960.770 ms) ====== [2026-01-10T10:59:40.629Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-10T10:59:40.629Z] GC before operation: completed in 350.656 ms, heap usage 385.716 MB -> 89.050 MB. [2026-01-10T10:59:47.408Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-10T10:59:54.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-10T11:00:00.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-10T11:00:05.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-10T11:00:09.917Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-10T11:00:13.260Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-10T11:00:17.630Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-10T11:00:20.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-10T11:00:21.759Z] 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. [2026-01-10T11:00:21.759Z] The best model improves the baseline by 14.52%. [2026-01-10T11:00:21.759Z] Top recommended movies for user id 72: [2026-01-10T11:00:21.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-01-10T11:00:21.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-01-10T11:00:21.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-01-10T11:00:21.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-01-10T11:00:21.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-01-10T11:00:21.759Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (41259.944 ms) ====== [2026-01-10T11:00:23.307Z] ----------------------------------- [2026-01-10T11:00:23.307Z] renaissance-movie-lens_0_PASSED [2026-01-10T11:00:23.307Z] ----------------------------------- [2026-01-10T11:00:23.307Z] [2026-01-10T11:00:23.307Z] TEST TEARDOWN: [2026-01-10T11:00:23.307Z] Nothing to be done for teardown. [2026-01-10T11:00:23.307Z] renaissance-movie-lens_0 Finish Time: Sat Jan 10 11:00:22 2026 Epoch Time (ms): 1768042822490