[2025-06-19T14:31:53.764Z] Running test renaissance-movie-lens_0 ... [2025-06-19T14:31:53.764Z] =============================================== [2025-06-19T14:31:53.764Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 15:31:53 2025 Epoch Time (ms): 1750343513728 [2025-06-19T14:31:53.764Z] variation: NoOptions [2025-06-19T14:31:53.764Z] JVM_OPTIONS: [2025-06-19T14:31:53.764Z] { \ [2025-06-19T14:31:53.764Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T14:31:53.764Z] echo "Nothing to be done for setup."; \ [2025-06-19T14:31:53.764Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_1750331908998/renaissance-movie-lens_0"; \ [2025-06-19T14:31:53.764Z] cd "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_1750331908998/renaissance-movie-lens_0"; \ [2025-06-19T14:31:53.764Z] echo ""; echo "TESTING:"; \ [2025-06-19T14:31:53.764Z] "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/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/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_1750331908998/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T14:31:53.764Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_1750331908998/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T14:31:53.764Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T14:31:53.764Z] echo "Nothing to be done for teardown."; \ [2025-06-19T14:31:53.764Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_1750331908998/TestTargetResult"; [2025-06-19T14:31:53.764Z] [2025-06-19T14:31:53.764Z] TEST SETUP: [2025-06-19T14:31:53.764Z] Nothing to be done for setup. [2025-06-19T14:31:53.764Z] [2025-06-19T14:31:53.764Z] TESTING: [2025-06-19T14:32:01.271Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-06-19T14:32:12.384Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T14:32:12.384Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T14:32:12.384Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T14:32:12.384Z] GC before operation: completed in 129.753 ms, heap usage 530.873 MB -> 75.152 MB. [2025-06-19T14:32:40.563Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:33:04.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:33:32.211Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:33:48.444Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:33:59.562Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:34:08.730Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:34:24.964Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:34:34.128Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:34:34.128Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:34:34.128Z] The best model improves the baseline by 14.43%. [2025-06-19T14:34:34.128Z] Top recommended movies for user id 72: [2025-06-19T14:34:34.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:34:34.128Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:34:34.128Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:34:34.128Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:34:34.128Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:34:34.128Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (141275.874 ms) ====== [2025-06-19T14:34:34.128Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T14:34:34.128Z] GC before operation: completed in 183.487 ms, heap usage 860.159 MB -> 90.853 MB. [2025-06-19T14:34:57.602Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:35:17.135Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:35:45.295Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:36:01.513Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:36:12.625Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:36:23.737Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:36:37.185Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:37:00.209Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:37:00.209Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:37:00.209Z] The best model improves the baseline by 14.43%. [2025-06-19T14:37:00.209Z] Top recommended movies for user id 72: [2025-06-19T14:37:00.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:37:00.209Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:37:00.209Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:37:00.209Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:37:00.209Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:37:00.209Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (144469.073 ms) ====== [2025-06-19T14:37:00.209Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T14:37:00.209Z] GC before operation: completed in 188.714 ms, heap usage 768.304 MB -> 93.157 MB. [2025-06-19T14:37:23.869Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:37:47.322Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:38:10.779Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:38:34.233Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:38:45.378Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:38:54.570Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:39:08.018Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:39:19.143Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:39:19.143Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:39:19.143Z] The best model improves the baseline by 14.43%. [2025-06-19T14:39:19.143Z] Top recommended movies for user id 72: [2025-06-19T14:39:19.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:39:19.143Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:39:19.143Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:39:19.143Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:39:19.143Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:39:19.143Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (140219.562 ms) ====== [2025-06-19T14:39:19.143Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T14:39:19.143Z] GC before operation: completed in 217.401 ms, heap usage 208.537 MB -> 95.964 MB. [2025-06-19T14:39:42.632Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:40:06.175Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:40:34.335Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:40:54.425Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:41:05.546Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:41:16.670Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:41:32.883Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:41:44.014Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:41:44.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:41:44.014Z] The best model improves the baseline by 14.43%. [2025-06-19T14:41:44.014Z] Top recommended movies for user id 72: [2025-06-19T14:41:44.014Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:41:44.014Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:41:44.014Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:41:44.014Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:41:44.014Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:41:44.014Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (144769.339 ms) ====== [2025-06-19T14:41:44.014Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T14:41:44.014Z] GC before operation: completed in 201.047 ms, heap usage 713.860 MB -> 96.530 MB. [2025-06-19T14:42:16.959Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:42:40.429Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:43:04.053Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:43:23.572Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:43:32.740Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:43:43.861Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:43:55.026Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:44:06.143Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:44:06.143Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:44:06.143Z] The best model improves the baseline by 14.43%. [2025-06-19T14:44:06.143Z] Top recommended movies for user id 72: [2025-06-19T14:44:06.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:44:06.143Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:44:06.143Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:44:06.143Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:44:06.143Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:44:06.143Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (141502.722 ms) ====== [2025-06-19T14:44:06.143Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T14:44:06.143Z] GC before operation: completed in 184.893 ms, heap usage 311.415 MB -> 95.102 MB. [2025-06-19T14:44:29.603Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:44:49.193Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:45:12.655Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:45:32.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:45:41.346Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:45:52.465Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:46:11.984Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:46:21.178Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:46:21.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:46:21.943Z] The best model improves the baseline by 14.43%. [2025-06-19T14:46:21.943Z] Top recommended movies for user id 72: [2025-06-19T14:46:21.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:46:21.943Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:46:21.943Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:46:21.943Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:46:21.943Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:46:21.943Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (136303.388 ms) ====== [2025-06-19T14:46:21.943Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T14:46:22.296Z] GC before operation: completed in 191.863 ms, heap usage 686.785 MB -> 96.859 MB. [2025-06-19T14:46:45.787Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:47:10.155Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:47:33.605Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:47:49.826Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:48:03.290Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:48:10.827Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:48:24.297Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:48:33.456Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:48:33.808Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:48:33.808Z] The best model improves the baseline by 14.43%. [2025-06-19T14:48:34.163Z] Top recommended movies for user id 72: [2025-06-19T14:48:34.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:48:34.163Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:48:34.163Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:48:34.163Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:48:34.163Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:48:34.163Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (131882.605 ms) ====== [2025-06-19T14:48:34.163Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T14:48:34.163Z] GC before operation: completed in 190.304 ms, heap usage 342.842 MB -> 95.377 MB. [2025-06-19T14:48:57.643Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:49:17.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:49:40.606Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:50:00.115Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:50:11.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:50:24.751Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:50:38.291Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:50:47.486Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:50:47.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:50:47.849Z] The best model improves the baseline by 14.43%. [2025-06-19T14:50:47.849Z] Top recommended movies for user id 72: [2025-06-19T14:50:47.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:50:47.849Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:50:47.849Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:50:47.849Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:50:47.849Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:50:47.849Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (133627.680 ms) ====== [2025-06-19T14:50:47.849Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T14:50:48.200Z] GC before operation: completed in 211.851 ms, heap usage 744.630 MB -> 97.109 MB. [2025-06-19T14:51:11.679Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:51:35.168Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:51:58.616Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:52:18.170Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:52:33.638Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:52:44.756Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:52:58.201Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:53:05.718Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:53:06.071Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:53:06.072Z] The best model improves the baseline by 14.43%. [2025-06-19T14:53:06.424Z] Top recommended movies for user id 72: [2025-06-19T14:53:06.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:53:06.424Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:53:06.424Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:53:06.424Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:53:06.424Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:53:06.424Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (138358.046 ms) ====== [2025-06-19T14:53:06.424Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T14:53:06.777Z] GC before operation: completed in 188.911 ms, heap usage 402.560 MB -> 96.611 MB. [2025-06-19T14:53:30.226Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:53:49.774Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:54:14.895Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:54:31.099Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:54:42.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:54:51.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:55:04.854Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:55:14.018Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:55:14.018Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:55:14.372Z] The best model improves the baseline by 14.43%. [2025-06-19T14:55:14.372Z] Top recommended movies for user id 72: [2025-06-19T14:55:14.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:55:14.372Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:55:14.372Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:55:14.372Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:55:14.372Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:55:14.372Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (127811.954 ms) ====== [2025-06-19T14:55:14.372Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T14:55:14.737Z] GC before operation: completed in 190.922 ms, heap usage 191.680 MB -> 94.442 MB. [2025-06-19T14:55:38.344Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:56:01.811Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:56:39.271Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:56:55.493Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:57:06.611Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:57:15.771Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:57:29.217Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:57:38.406Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:57:38.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:57:38.406Z] The best model improves the baseline by 14.43%. [2025-06-19T14:57:38.406Z] Top recommended movies for user id 72: [2025-06-19T14:57:38.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:57:38.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:57:38.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:57:38.406Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:57:38.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:57:38.406Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (143407.277 ms) ====== [2025-06-19T14:57:38.406Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T14:57:38.406Z] GC before operation: completed in 189.171 ms, heap usage 466.005 MB -> 96.509 MB. [2025-06-19T14:58:01.865Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T14:58:21.438Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T14:58:44.899Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T14:59:01.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T14:59:14.646Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T14:59:22.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T14:59:38.482Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T14:59:53.789Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T14:59:53.789Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T14:59:53.789Z] The best model improves the baseline by 14.43%. [2025-06-19T14:59:53.789Z] Top recommended movies for user id 72: [2025-06-19T14:59:53.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T14:59:53.789Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T14:59:53.789Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T14:59:53.789Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T14:59:53.789Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T14:59:53.789Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (134183.656 ms) ====== [2025-06-19T14:59:53.789Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T14:59:53.789Z] GC before operation: completed in 175.006 ms, heap usage 627.598 MB -> 94.577 MB. [2025-06-19T15:00:17.290Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:00:40.766Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:01:04.232Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:01:20.446Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:01:33.889Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:01:41.419Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:01:54.890Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:02:06.032Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:02:06.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:02:06.032Z] The best model improves the baseline by 14.43%. [2025-06-19T15:02:06.032Z] Top recommended movies for user id 72: [2025-06-19T15:02:06.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:02:06.032Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:02:06.032Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:02:06.032Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:02:06.032Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:02:06.032Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (132656.685 ms) ====== [2025-06-19T15:02:06.032Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T15:02:06.032Z] GC before operation: completed in 167.532 ms, heap usage 383.071 MB -> 94.551 MB. [2025-06-19T15:02:29.499Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:02:52.953Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:03:16.412Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:03:45.593Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:03:56.747Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:04:07.891Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:04:21.339Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:04:30.524Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:04:30.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:04:30.524Z] The best model improves the baseline by 14.43%. [2025-06-19T15:04:30.524Z] Top recommended movies for user id 72: [2025-06-19T15:04:30.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:04:30.524Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:04:30.524Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:04:30.524Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:04:30.524Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:04:30.524Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (145184.747 ms) ====== [2025-06-19T15:04:30.524Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T15:04:30.883Z] GC before operation: completed in 272.949 ms, heap usage 689.347 MB -> 105.321 MB. [2025-06-19T15:04:54.345Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:05:13.857Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:05:47.185Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:06:03.499Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:06:14.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:06:23.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:06:37.233Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:06:46.415Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:06:46.415Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:06:46.415Z] The best model improves the baseline by 14.43%. [2025-06-19T15:06:46.768Z] Top recommended movies for user id 72: [2025-06-19T15:06:46.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:06:46.768Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:06:46.768Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:06:46.768Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:06:46.768Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:06:46.768Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (135859.877 ms) ====== [2025-06-19T15:06:46.768Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T15:06:46.768Z] GC before operation: completed in 202.389 ms, heap usage 856.789 MB -> 97.325 MB. [2025-06-19T15:07:10.214Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:07:29.744Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:07:57.915Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:08:17.409Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:08:28.520Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:08:37.684Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:08:51.177Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:09:00.369Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:09:01.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:09:01.127Z] The best model improves the baseline by 14.43%. [2025-06-19T15:09:01.127Z] Top recommended movies for user id 72: [2025-06-19T15:09:01.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:09:01.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:09:01.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:09:01.127Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:09:01.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:09:01.127Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (134279.885 ms) ====== [2025-06-19T15:09:01.127Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T15:09:01.480Z] GC before operation: completed in 205.461 ms, heap usage 976.854 MB -> 97.132 MB. [2025-06-19T15:09:24.974Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:09:44.546Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:10:08.003Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:10:24.270Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:10:35.378Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:10:44.531Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:10:57.974Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:11:07.196Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:11:07.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:11:07.196Z] The best model improves the baseline by 14.43%. [2025-06-19T15:11:07.551Z] Top recommended movies for user id 72: [2025-06-19T15:11:07.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:11:07.551Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:11:07.551Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:11:07.551Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:11:07.551Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:11:07.551Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (126025.638 ms) ====== [2025-06-19T15:11:07.551Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T15:11:07.551Z] GC before operation: completed in 188.108 ms, heap usage 717.869 MB -> 94.738 MB. [2025-06-19T15:11:31.077Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:11:56.393Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:12:24.560Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:12:44.324Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:12:53.057Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:13:04.174Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:13:17.619Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:13:25.136Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:13:25.491Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:13:25.491Z] The best model improves the baseline by 14.43%. [2025-06-19T15:13:25.491Z] Top recommended movies for user id 72: [2025-06-19T15:13:25.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:13:25.491Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:13:25.491Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:13:25.491Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:13:25.491Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:13:25.491Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (138023.975 ms) ====== [2025-06-19T15:13:25.491Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T15:13:25.844Z] GC before operation: completed in 179.073 ms, heap usage 390.912 MB -> 96.698 MB. [2025-06-19T15:13:49.299Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:14:08.832Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:14:32.285Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:14:48.494Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:14:57.660Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:15:06.983Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:15:20.464Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:15:29.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:15:29.637Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:15:29.637Z] The best model improves the baseline by 14.43%. [2025-06-19T15:15:29.637Z] Top recommended movies for user id 72: [2025-06-19T15:15:29.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:15:29.637Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:15:29.637Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:15:29.637Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:15:29.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:15:29.637Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (123494.022 ms) ====== [2025-06-19T15:15:29.637Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T15:15:29.637Z] GC before operation: completed in 285.810 ms, heap usage 1.370 GB -> 120.307 MB. [2025-06-19T15:15:53.084Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T15:16:16.530Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T15:16:44.718Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T15:17:00.926Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T15:17:14.367Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T15:17:33.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T15:17:47.257Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T15:18:04.273Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T15:18:04.627Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T15:18:04.627Z] The best model improves the baseline by 14.43%. [2025-06-19T15:18:04.980Z] Top recommended movies for user id 72: [2025-06-19T15:18:04.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T15:18:04.980Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T15:18:04.980Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T15:18:04.980Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T15:18:04.980Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T15:18:04.980Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (155330.029 ms) ====== [2025-06-19T15:18:06.197Z] ----------------------------------- [2025-06-19T15:18:06.197Z] renaissance-movie-lens_0_PASSED [2025-06-19T15:18:06.197Z] ----------------------------------- [2025-06-19T15:18:06.197Z] [2025-06-19T15:18:06.197Z] TEST TEARDOWN: [2025-06-19T15:18:06.197Z] Nothing to be done for teardown. [2025-06-19T15:18:06.197Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 16:18:05 2025 Epoch Time (ms): 1750346285874