[2025-05-16T21:44:01.991Z] Running test renaissance-movie-lens_0 ... [2025-05-16T21:44:01.991Z] =============================================== [2025-05-16T21:44:01.991Z] renaissance-movie-lens_0 Start Time: Fri May 16 17:44:01 2025 Epoch Time (ms): 1747431841455 [2025-05-16T21:44:01.991Z] variation: NoOptions [2025-05-16T21:44:01.991Z] JVM_OPTIONS: [2025-05-16T21:44:01.991Z] { \ [2025-05-16T21:44:01.991Z] echo ""; echo "TEST SETUP:"; \ [2025-05-16T21:44:01.991Z] echo "Nothing to be done for setup."; \ [2025-05-16T21:44:01.991Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1747431261144/renaissance-movie-lens_0"; \ [2025-05-16T21:44:01.991Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1747431261144/renaissance-movie-lens_0"; \ [2025-05-16T21:44:01.991Z] echo ""; echo "TESTING:"; \ [2025-05-16T21:44:01.992Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1747431261144/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-16T21:44:01.992Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1747431261144/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-16T21:44:01.992Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-16T21:44:01.992Z] echo "Nothing to be done for teardown."; \ [2025-05-16T21:44:01.992Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_1747431261144/TestTargetResult"; [2025-05-16T21:44:01.992Z] [2025-05-16T21:44:01.992Z] TEST SETUP: [2025-05-16T21:44:01.992Z] Nothing to be done for setup. [2025-05-16T21:44:01.992Z] [2025-05-16T21:44:01.992Z] TESTING: [2025-05-16T21:44:05.394Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-16T21:44:08.779Z] 17:44:08.460 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-16T21:44:10.195Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-16T21:44:10.603Z] Training: 60056, validation: 20285, test: 19854 [2025-05-16T21:44:10.603Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-16T21:44:10.603Z] GC before operation: completed in 57.420 ms, heap usage 260.665 MB -> 75.640 MB. [2025-05-16T21:44:14.812Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:44:18.219Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:44:20.145Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:44:21.494Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:44:22.887Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:44:24.242Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:44:25.078Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:44:25.957Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:44:26.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:44:26.358Z] The best model improves the baseline by 14.52%. [2025-05-16T21:44:26.358Z] Top recommended movies for user id 72: [2025-05-16T21:44:26.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:44:26.358Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:44:26.358Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:44:26.358Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:44:26.358Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:44:26.358Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (15854.749 ms) ====== [2025-05-16T21:44:26.358Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-16T21:44:26.358Z] GC before operation: completed in 65.246 ms, heap usage 199.047 MB -> 93.949 MB. [2025-05-16T21:44:28.285Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:44:29.621Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:44:31.560Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:44:32.910Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:44:33.766Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:44:35.145Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:44:36.018Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:44:36.857Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:44:36.857Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:44:37.255Z] The best model improves the baseline by 14.52%. [2025-05-16T21:44:37.255Z] Top recommended movies for user id 72: [2025-05-16T21:44:37.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:44:37.255Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:44:37.255Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:44:37.255Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:44:37.255Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:44:37.255Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10774.207 ms) ====== [2025-05-16T21:44:37.255Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-16T21:44:37.255Z] GC before operation: completed in 76.720 ms, heap usage 267.305 MB -> 90.117 MB. [2025-05-16T21:44:39.201Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:44:40.568Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:44:42.517Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:44:43.877Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:44:44.821Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:44:46.186Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:44:47.037Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:44:48.390Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:44:48.390Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:44:48.390Z] The best model improves the baseline by 14.52%. [2025-05-16T21:44:48.390Z] Top recommended movies for user id 72: [2025-05-16T21:44:48.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:44:48.390Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:44:48.390Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:44:48.390Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:44:48.390Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:44:48.391Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (11130.401 ms) ====== [2025-05-16T21:44:48.391Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-16T21:44:48.391Z] GC before operation: completed in 75.953 ms, heap usage 515.085 MB -> 92.429 MB. [2025-05-16T21:44:50.338Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:44:51.669Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:44:53.622Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:44:54.964Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:44:55.905Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:44:56.749Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:44:57.604Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:44:58.980Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:44:58.980Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:44:58.980Z] The best model improves the baseline by 14.52%. [2025-05-16T21:44:58.980Z] Top recommended movies for user id 72: [2025-05-16T21:44:58.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:44:58.980Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:44:58.980Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:44:58.980Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:44:58.980Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:44:58.980Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10578.122 ms) ====== [2025-05-16T21:44:58.980Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-16T21:44:58.980Z] GC before operation: completed in 67.177 ms, heap usage 187.039 MB -> 89.055 MB. [2025-05-16T21:45:00.936Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:02.291Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:03.685Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:05.079Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:06.440Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:07.295Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:08.142Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:45:08.981Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:45:09.384Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:45:09.384Z] The best model improves the baseline by 14.52%. [2025-05-16T21:45:09.384Z] Top recommended movies for user id 72: [2025-05-16T21:45:09.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:45:09.384Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:45:09.384Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:45:09.384Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:45:09.384Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:45:09.384Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10226.676 ms) ====== [2025-05-16T21:45:09.384Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-16T21:45:09.384Z] GC before operation: completed in 58.509 ms, heap usage 219.781 MB -> 89.082 MB. [2025-05-16T21:45:11.322Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:12.684Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:14.038Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:15.969Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:16.820Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:17.657Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:18.507Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:45:19.353Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:45:19.353Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:45:19.353Z] The best model improves the baseline by 14.52%. [2025-05-16T21:45:19.745Z] Top recommended movies for user id 72: [2025-05-16T21:45:19.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:45:19.745Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:45:19.745Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:45:19.745Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:45:19.745Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:45:19.745Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10199.301 ms) ====== [2025-05-16T21:45:19.745Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-16T21:45:19.745Z] GC before operation: completed in 71.559 ms, heap usage 455.796 MB -> 89.824 MB. [2025-05-16T21:45:21.108Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:23.048Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:24.384Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:25.734Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:26.608Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:27.463Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:28.810Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:45:29.648Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:45:29.648Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:45:29.648Z] The best model improves the baseline by 14.52%. [2025-05-16T21:45:29.648Z] Top recommended movies for user id 72: [2025-05-16T21:45:29.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:45:29.648Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:45:29.648Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:45:29.648Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:45:29.648Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:45:29.648Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10156.003 ms) ====== [2025-05-16T21:45:29.648Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-16T21:45:30.040Z] GC before operation: completed in 72.563 ms, heap usage 344.807 MB -> 89.577 MB. [2025-05-16T21:45:31.391Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:33.333Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:34.669Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:36.019Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:36.873Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:38.237Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:39.083Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:45:39.915Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:45:39.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:45:39.915Z] The best model improves the baseline by 14.52%. [2025-05-16T21:45:40.309Z] Top recommended movies for user id 72: [2025-05-16T21:45:40.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:45:40.309Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:45:40.309Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:45:40.309Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:45:40.309Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:45:40.309Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10236.852 ms) ====== [2025-05-16T21:45:40.309Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-16T21:45:40.309Z] GC before operation: completed in 72.407 ms, heap usage 343.069 MB -> 89.830 MB. [2025-05-16T21:45:41.658Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:43.582Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:44.951Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:46.911Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:47.310Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:48.172Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:49.551Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:45:50.395Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:45:50.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:45:50.395Z] The best model improves the baseline by 14.52%. [2025-05-16T21:45:50.395Z] Top recommended movies for user id 72: [2025-05-16T21:45:50.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:45:50.395Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:45:50.395Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:45:50.395Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:45:50.395Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:45:50.395Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10227.154 ms) ====== [2025-05-16T21:45:50.395Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-16T21:45:50.395Z] GC before operation: completed in 66.144 ms, heap usage 261.136 MB -> 89.667 MB. [2025-05-16T21:45:52.340Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:45:53.682Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:45:55.045Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:45:56.958Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:45:57.805Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:45:58.650Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:45:59.499Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:00.343Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:00.753Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:00.753Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:00.753Z] Top recommended movies for user id 72: [2025-05-16T21:46:00.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:00.753Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:00.753Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:00.753Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:00.753Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:00.753Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10279.033 ms) ====== [2025-05-16T21:46:00.753Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-16T21:46:00.753Z] GC before operation: completed in 59.680 ms, heap usage 222.842 MB -> 89.645 MB. [2025-05-16T21:46:02.708Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:04.129Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:05.526Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:07.017Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:08.364Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:09.212Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:10.054Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:10.917Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:10.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:10.917Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:10.917Z] Top recommended movies for user id 72: [2025-05-16T21:46:10.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:10.917Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:10.917Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:10.917Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:10.917Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:10.917Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (10217.882 ms) ====== [2025-05-16T21:46:10.917Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-16T21:46:11.308Z] GC before operation: completed in 70.905 ms, heap usage 232.969 MB -> 89.431 MB. [2025-05-16T21:46:12.658Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:14.007Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:15.358Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:16.705Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:17.546Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:18.385Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:19.223Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:20.073Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:20.073Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:20.464Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:20.464Z] Top recommended movies for user id 72: [2025-05-16T21:46:20.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:20.464Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:20.464Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:20.464Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:20.464Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:20.464Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9207.716 ms) ====== [2025-05-16T21:46:20.464Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-16T21:46:20.464Z] GC before operation: completed in 53.109 ms, heap usage 267.234 MB -> 89.778 MB. [2025-05-16T21:46:21.813Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:23.180Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:25.115Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:26.461Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:27.310Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:28.153Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:28.998Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:29.846Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:30.246Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:30.246Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:30.246Z] Top recommended movies for user id 72: [2025-05-16T21:46:30.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:30.246Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:30.246Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:30.246Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:30.246Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:30.246Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9839.592 ms) ====== [2025-05-16T21:46:30.246Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-16T21:46:30.246Z] GC before operation: completed in 76.941 ms, heap usage 193.875 MB -> 89.691 MB. [2025-05-16T21:46:31.611Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:32.972Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:34.907Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:36.253Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:36.649Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:37.986Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:38.834Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:39.668Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:39.668Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:39.668Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:40.061Z] Top recommended movies for user id 72: [2025-05-16T21:46:40.061Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:40.061Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:40.061Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:40.061Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:40.061Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:40.061Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9571.356 ms) ====== [2025-05-16T21:46:40.061Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-16T21:46:40.061Z] GC before operation: completed in 45.675 ms, heap usage 240.942 MB -> 89.631 MB. [2025-05-16T21:46:41.401Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:42.769Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:44.155Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:44.987Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:45.835Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:46.686Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:47.533Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:48.419Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:48.419Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:48.419Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:48.419Z] Top recommended movies for user id 72: [2025-05-16T21:46:48.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:48.419Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:48.419Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:48.419Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:48.419Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:48.419Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8499.678 ms) ====== [2025-05-16T21:46:48.419Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-16T21:46:48.419Z] GC before operation: completed in 49.669 ms, heap usage 244.312 MB -> 89.840 MB. [2025-05-16T21:46:49.772Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:46:51.135Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:46:52.481Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:46:53.829Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:46:55.165Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:46:56.003Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:46:56.833Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:46:57.689Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:46:57.689Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:46:57.689Z] The best model improves the baseline by 14.52%. [2025-05-16T21:46:57.689Z] Top recommended movies for user id 72: [2025-05-16T21:46:57.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:46:57.689Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:46:57.689Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:46:57.689Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:46:57.689Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:46:57.689Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9346.963 ms) ====== [2025-05-16T21:46:57.689Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-16T21:46:58.083Z] GC before operation: completed in 75.775 ms, heap usage 259.165 MB -> 89.690 MB. [2025-05-16T21:46:59.425Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:47:00.831Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:47:02.825Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:47:04.230Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:47:05.104Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:47:05.508Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:47:06.848Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:47:08.192Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:47:08.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:47:08.192Z] The best model improves the baseline by 14.52%. [2025-05-16T21:47:08.192Z] Top recommended movies for user id 72: [2025-05-16T21:47:08.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:47:08.192Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:47:08.192Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:47:08.192Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:47:08.192Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:47:08.192Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (10372.580 ms) ====== [2025-05-16T21:47:08.192Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-16T21:47:08.192Z] GC before operation: completed in 64.847 ms, heap usage 342.293 MB -> 89.882 MB. [2025-05-16T21:47:10.129Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:47:11.496Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:47:12.856Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:47:14.214Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:47:15.068Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:47:15.996Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:47:16.844Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:47:17.701Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:47:18.110Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:47:18.110Z] The best model improves the baseline by 14.52%. [2025-05-16T21:47:18.110Z] Top recommended movies for user id 72: [2025-05-16T21:47:18.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:47:18.110Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:47:18.110Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:47:18.110Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:47:18.110Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:47:18.110Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9698.035 ms) ====== [2025-05-16T21:47:18.110Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-16T21:47:18.110Z] GC before operation: completed in 70.388 ms, heap usage 189.611 MB -> 89.545 MB. [2025-05-16T21:47:20.043Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:47:21.409Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:47:22.757Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:47:24.097Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:47:24.941Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:47:25.774Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:47:26.612Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:47:27.006Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:47:27.006Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:47:27.396Z] The best model improves the baseline by 14.52%. [2025-05-16T21:47:27.396Z] Top recommended movies for user id 72: [2025-05-16T21:47:27.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:47:27.396Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:47:27.396Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:47:27.396Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:47:27.396Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:47:27.396Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9153.360 ms) ====== [2025-05-16T21:47:27.396Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-16T21:47:27.396Z] GC before operation: completed in 51.221 ms, heap usage 251.278 MB -> 89.880 MB. [2025-05-16T21:47:28.750Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-16T21:47:29.589Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-16T21:47:30.933Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-16T21:47:31.774Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-16T21:47:32.605Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-16T21:47:33.450Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-16T21:47:34.307Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-16T21:47:35.150Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-16T21:47:35.150Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-05-16T21:47:35.150Z] The best model improves the baseline by 14.52%. [2025-05-16T21:47:35.543Z] Top recommended movies for user id 72: [2025-05-16T21:47:35.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-16T21:47:35.543Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-16T21:47:35.543Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-16T21:47:35.543Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-16T21:47:35.543Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-16T21:47:35.543Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8092.522 ms) ====== [2025-05-16T21:47:35.543Z] ----------------------------------- [2025-05-16T21:47:35.543Z] renaissance-movie-lens_0_PASSED [2025-05-16T21:47:35.543Z] ----------------------------------- [2025-05-16T21:47:35.543Z] [2025-05-16T21:47:35.543Z] TEST TEARDOWN: [2025-05-16T21:47:35.543Z] Nothing to be done for teardown. [2025-05-16T21:47:35.543Z] renaissance-movie-lens_0 Finish Time: Fri May 16 17:47:35 2025 Epoch Time (ms): 1747432055463