[2025-10-03T21:19:17.179Z] Running test renaissance-movie-lens_0 ... [2025-10-03T21:19:17.179Z] =============================================== [2025-10-03T21:19:17.179Z] renaissance-movie-lens_0 Start Time: Fri Oct 3 21:19:16 2025 Epoch Time (ms): 1759526356014 [2025-10-03T21:19:17.179Z] variation: NoOptions [2025-10-03T21:19:17.179Z] JVM_OPTIONS: [2025-10-03T21:19:17.179Z] { \ [2025-10-03T21:19:17.179Z] echo ""; echo "TEST SETUP:"; \ [2025-10-03T21:19:17.179Z] echo "Nothing to be done for setup."; \ [2025-10-03T21:19:17.179Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17595241404662/renaissance-movie-lens_0"; \ [2025-10-03T21:19:17.179Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17595241404662/renaissance-movie-lens_0"; \ [2025-10-03T21:19:17.179Z] echo ""; echo "TESTING:"; \ [2025-10-03T21:19:17.179Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17595241404662/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-03T21:19:17.179Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17595241404662/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-03T21:19:17.179Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-03T21:19:17.179Z] echo "Nothing to be done for teardown."; \ [2025-10-03T21:19:17.179Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17595241404662/TestTargetResult"; [2025-10-03T21:19:17.179Z] [2025-10-03T21:19:17.179Z] TEST SETUP: [2025-10-03T21:19:17.179Z] Nothing to be done for setup. [2025-10-03T21:19:17.179Z] [2025-10-03T21:19:17.179Z] TESTING: [2025-10-03T21:19:30.775Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-03T21:19:55.447Z] 21:19:52.640 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. [2025-10-03T21:19:58.500Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-03T21:19:59.464Z] Training: 60056, validation: 20285, test: 19854 [2025-10-03T21:19:59.464Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-03T21:19:59.464Z] GC before operation: completed in 346.077 ms, heap usage 298.085 MB -> 76.109 MB. [2025-10-03T21:20:24.352Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:20:36.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:20:45.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:20:53.220Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:20:57.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:02.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:07.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:21:11.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:21:12.185Z] 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. [2025-10-03T21:21:12.185Z] The best model improves the baseline by 14.52%. [2025-10-03T21:21:13.151Z] Top recommended movies for user id 72: [2025-10-03T21:21:13.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:21:13.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:21:13.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:21:13.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:21:13.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:21:13.151Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (73303.798 ms) ====== [2025-10-03T21:21:13.151Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-03T21:21:13.151Z] GC before operation: completed in 520.208 ms, heap usage 633.265 MB -> 98.972 MB. [2025-10-03T21:21:23.030Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:21:31.273Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:21:39.495Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:21:44.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:21:47.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:21:50.982Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:21:56.057Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:00.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:00.311Z] 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. [2025-10-03T21:22:01.285Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:01.285Z] Top recommended movies for user id 72: [2025-10-03T21:22:01.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:01.285Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:01.285Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:01.285Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:01.285Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:01.285Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47818.036 ms) ====== [2025-10-03T21:22:01.285Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-03T21:22:01.285Z] GC before operation: completed in 349.345 ms, heap usage 521.888 MB -> 89.250 MB. [2025-10-03T21:22:09.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:22:16.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:22:21.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:22:26.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:22:30.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:22:33.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:22:39.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:22:43.253Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:22:43.253Z] 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. [2025-10-03T21:22:43.253Z] The best model improves the baseline by 14.52%. [2025-10-03T21:22:44.223Z] Top recommended movies for user id 72: [2025-10-03T21:22:44.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:22:44.223Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:22:44.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:22:44.223Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:22:44.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:22:44.223Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (42417.425 ms) ====== [2025-10-03T21:22:44.223Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-03T21:22:44.223Z] GC before operation: completed in 367.669 ms, heap usage 212.738 MB -> 89.500 MB. [2025-10-03T21:22:52.446Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:22:59.222Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:06.712Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:12.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:15.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:19.347Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:23:22.514Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:23:25.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:23:26.523Z] 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. [2025-10-03T21:23:26.524Z] The best model improves the baseline by 14.52%. [2025-10-03T21:23:26.524Z] Top recommended movies for user id 72: [2025-10-03T21:23:26.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:23:26.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:23:26.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:23:26.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:23:26.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:23:26.524Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (42078.228 ms) ====== [2025-10-03T21:23:26.524Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-03T21:23:26.524Z] GC before operation: completed in 381.177 ms, heap usage 254.353 MB -> 89.872 MB. [2025-10-03T21:23:33.263Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:23:37.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:23:44.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:23:50.971Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:23:54.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:23:58.212Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:01.263Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:04.300Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:05.257Z] 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. [2025-10-03T21:24:05.257Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:05.257Z] Top recommended movies for user id 72: [2025-10-03T21:24:05.257Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:05.257Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:05.257Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:05.257Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:05.257Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:05.257Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (38691.233 ms) ====== [2025-10-03T21:24:05.257Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-03T21:24:06.213Z] GC before operation: completed in 326.169 ms, heap usage 440.524 MB -> 90.150 MB. [2025-10-03T21:24:10.780Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:16.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:20.466Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:24:25.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:24:28.952Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:24:31.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:24:36.190Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:24:39.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:24:40.198Z] 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. [2025-10-03T21:24:40.198Z] The best model improves the baseline by 14.52%. [2025-10-03T21:24:40.198Z] Top recommended movies for user id 72: [2025-10-03T21:24:40.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:24:40.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:24:40.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:24:40.198Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:24:40.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:24:40.198Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34261.700 ms) ====== [2025-10-03T21:24:40.198Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-03T21:24:40.198Z] GC before operation: completed in 339.488 ms, heap usage 489.674 MB -> 90.506 MB. [2025-10-03T21:24:46.927Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:24:53.682Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:24:59.112Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:05.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:10.063Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:13.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:16.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:19.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:19.163Z] 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. [2025-10-03T21:25:19.163Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:20.125Z] Top recommended movies for user id 72: [2025-10-03T21:25:20.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:25:20.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:25:20.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:25:20.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:25:20.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:25:20.125Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39162.069 ms) ====== [2025-10-03T21:25:20.125Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-03T21:25:20.125Z] GC before operation: completed in 332.869 ms, heap usage 198.099 MB -> 90.088 MB. [2025-10-03T21:25:26.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:25:31.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:25:37.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:25:41.299Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:25:45.509Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:25:48.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:25:52.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:25:56.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:25:56.912Z] 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. [2025-10-03T21:25:57.870Z] The best model improves the baseline by 14.52%. [2025-10-03T21:25:57.870Z] Top recommended movies for user id 72: [2025-10-03T21:25:57.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:25:57.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:25:57.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:25:57.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:25:57.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:25:57.870Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (37738.564 ms) ====== [2025-10-03T21:25:57.870Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-03T21:25:57.870Z] GC before operation: completed in 390.395 ms, heap usage 128.924 MB -> 90.178 MB. [2025-10-03T21:26:04.664Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:26:11.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:26:18.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:26:23.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:26:26.752Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:26:28.708Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:26:30.667Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:26:33.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:26:34.653Z] 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. [2025-10-03T21:26:34.653Z] The best model improves the baseline by 14.52%. [2025-10-03T21:26:34.653Z] Top recommended movies for user id 72: [2025-10-03T21:26:34.653Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:26:34.653Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:26:34.653Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:26:34.653Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:26:34.653Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:26:34.653Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (36325.505 ms) ====== [2025-10-03T21:26:34.653Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-03T21:26:34.653Z] GC before operation: completed in 276.526 ms, heap usage 384.309 MB -> 90.384 MB. [2025-10-03T21:26:40.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:26:46.819Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:26:53.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:27:00.329Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:27:04.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:27:08.309Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:27:12.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:27:16.731Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:27:16.731Z] 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. [2025-10-03T21:27:16.731Z] The best model improves the baseline by 14.52%. [2025-10-03T21:27:16.731Z] Top recommended movies for user id 72: [2025-10-03T21:27:16.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:27:16.731Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:27:16.731Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:27:16.731Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:27:16.731Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:27:16.731Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42218.432 ms) ====== [2025-10-03T21:27:16.731Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-03T21:27:17.688Z] GC before operation: completed in 273.637 ms, heap usage 184.053 MB -> 90.378 MB. [2025-10-03T21:27:23.185Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:27:27.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:27:32.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:27:38.352Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:27:42.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:27:45.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:27:49.796Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:27:53.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:27:53.526Z] 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. [2025-10-03T21:27:53.526Z] The best model improves the baseline by 14.52%. [2025-10-03T21:27:54.508Z] Top recommended movies for user id 72: [2025-10-03T21:27:54.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:27:54.508Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:27:54.508Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:27:54.508Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:27:54.508Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:27:54.508Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (36665.729 ms) ====== [2025-10-03T21:27:54.508Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-03T21:27:54.508Z] GC before operation: completed in 427.421 ms, heap usage 631.183 MB -> 93.830 MB. [2025-10-03T21:28:01.424Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:28:08.214Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:28:13.743Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:28:17.919Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:28:20.960Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:28:24.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:28:27.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:28:30.653Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:28:31.637Z] 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. [2025-10-03T21:28:31.637Z] The best model improves the baseline by 14.52%. [2025-10-03T21:28:31.637Z] Top recommended movies for user id 72: [2025-10-03T21:28:31.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:28:31.637Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:28:31.637Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:28:31.637Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:28:31.637Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:28:31.637Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37554.743 ms) ====== [2025-10-03T21:28:31.637Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-03T21:28:32.595Z] GC before operation: completed in 330.674 ms, heap usage 174.520 MB -> 90.332 MB. [2025-10-03T21:28:38.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:28:43.485Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:28:48.895Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:28:53.121Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:28:57.309Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:29:00.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:29:04.593Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:29:08.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:29:09.726Z] 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. [2025-10-03T21:29:09.726Z] The best model improves the baseline by 14.52%. [2025-10-03T21:29:09.726Z] Top recommended movies for user id 72: [2025-10-03T21:29:09.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:29:09.726Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:29:09.726Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:29:09.726Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:29:09.726Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:29:09.726Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (37730.925 ms) ====== [2025-10-03T21:29:09.726Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-03T21:29:10.681Z] GC before operation: completed in 292.616 ms, heap usage 375.904 MB -> 90.719 MB. [2025-10-03T21:29:16.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:29:23.110Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:29:28.953Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:29:34.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:29:37.441Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:29:40.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:29:43.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:29:46.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:29:46.523Z] 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. [2025-10-03T21:29:46.523Z] The best model improves the baseline by 14.52%. [2025-10-03T21:29:47.481Z] Top recommended movies for user id 72: [2025-10-03T21:29:47.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:29:47.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:29:47.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:29:47.481Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:29:47.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:29:47.481Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36785.501 ms) ====== [2025-10-03T21:29:47.481Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-03T21:29:47.481Z] GC before operation: completed in 250.981 ms, heap usage 310.674 MB -> 90.363 MB. [2025-10-03T21:29:52.931Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:29:57.111Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:30:02.625Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:30:08.105Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:30:12.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:30:16.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:30:21.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:30:25.389Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:30:25.389Z] 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. [2025-10-03T21:30:25.389Z] The best model improves the baseline by 14.52%. [2025-10-03T21:30:26.373Z] Top recommended movies for user id 72: [2025-10-03T21:30:26.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:30:26.373Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:30:26.373Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:30:26.373Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:30:26.373Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:30:26.373Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (38772.677 ms) ====== [2025-10-03T21:30:26.373Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-03T21:30:26.373Z] GC before operation: completed in 354.619 ms, heap usage 113.935 MB -> 90.366 MB. [2025-10-03T21:30:33.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:30:38.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:30:45.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:30:49.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:30:53.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:30:56.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:31:02.218Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:31:05.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:31:06.502Z] 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. [2025-10-03T21:31:06.502Z] The best model improves the baseline by 14.52%. [2025-10-03T21:31:06.502Z] Top recommended movies for user id 72: [2025-10-03T21:31:06.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:31:06.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:31:06.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:31:06.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:31:06.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:31:06.502Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (40275.446 ms) ====== [2025-10-03T21:31:06.502Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-03T21:31:07.469Z] GC before operation: completed in 497.858 ms, heap usage 294.584 MB -> 90.516 MB. [2025-10-03T21:31:14.198Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:31:19.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:31:25.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:31:30.422Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:31:34.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:31:37.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:31:41.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:31:44.884Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:31:44.884Z] 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. [2025-10-03T21:31:44.884Z] The best model improves the baseline by 14.52%. [2025-10-03T21:31:44.884Z] Top recommended movies for user id 72: [2025-10-03T21:31:44.884Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:31:44.884Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:31:44.884Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:31:44.884Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:31:44.884Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:31:44.884Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (37969.204 ms) ====== [2025-10-03T21:31:44.884Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-03T21:31:45.847Z] GC before operation: completed in 311.706 ms, heap usage 622.067 MB -> 94.234 MB. [2025-10-03T21:31:51.238Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:31:55.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:32:00.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:32:05.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:32:09.939Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:32:14.144Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:32:17.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:32:21.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:32:22.489Z] 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. [2025-10-03T21:32:22.489Z] The best model improves the baseline by 14.52%. [2025-10-03T21:32:22.489Z] Top recommended movies for user id 72: [2025-10-03T21:32:22.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:32:22.489Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:32:22.489Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:32:22.489Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:32:22.489Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:32:22.489Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (36994.515 ms) ====== [2025-10-03T21:32:22.489Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-03T21:32:23.449Z] GC before operation: completed in 389.583 ms, heap usage 122.629 MB -> 90.128 MB. [2025-10-03T21:32:30.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:32:37.097Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:32:42.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:32:48.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:32:50.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:32:53.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:32:56.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:33:00.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:33:00.356Z] 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. [2025-10-03T21:33:00.356Z] The best model improves the baseline by 14.52%. [2025-10-03T21:33:01.325Z] Top recommended movies for user id 72: [2025-10-03T21:33:01.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:33:01.325Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:33:01.325Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:33:01.325Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:33:01.325Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:33:01.325Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (38019.998 ms) ====== [2025-10-03T21:33:01.325Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-03T21:33:01.325Z] GC before operation: completed in 337.716 ms, heap usage 211.180 MB -> 90.412 MB. [2025-10-03T21:33:06.722Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-03T21:33:10.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-03T21:33:15.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-03T21:33:20.437Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-03T21:33:23.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-03T21:33:26.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-03T21:33:29.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-03T21:33:32.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-03T21:33:33.690Z] 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. [2025-10-03T21:33:33.690Z] The best model improves the baseline by 14.52%. [2025-10-03T21:33:33.690Z] Top recommended movies for user id 72: [2025-10-03T21:33:33.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-03T21:33:33.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-03T21:33:33.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-03T21:33:33.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-03T21:33:33.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-03T21:33:33.690Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32285.184 ms) ====== [2025-10-03T21:33:35.658Z] ----------------------------------- [2025-10-03T21:33:35.658Z] renaissance-movie-lens_0_PASSED [2025-10-03T21:33:35.658Z] ----------------------------------- [2025-10-03T21:33:35.658Z] [2025-10-03T21:33:35.658Z] TEST TEARDOWN: [2025-10-03T21:33:35.658Z] Nothing to be done for teardown. [2025-10-03T21:33:35.658Z] renaissance-movie-lens_0 Finish Time: Fri Oct 3 21:33:34 2025 Epoch Time (ms): 1759527214610