Test Results Summary Service

renaissance-movie-lens_0

[2025-10-02T02:58:30.208Z] Running test renaissance-movie-lens_0 ... [2025-10-02T02:58:30.208Z] =============================================== [2025-10-02T02:58:30.208Z] renaissance-movie-lens_0 Start Time: Thu Oct 2 03:58:29 2025 Epoch Time (ms): 1759373909800 [2025-10-02T02:58:30.208Z] variation: NoOptions [2025-10-02T02:58:30.208Z] JVM_OPTIONS: [2025-10-02T02:58:30.208Z] { \ [2025-10-02T02:58:30.208Z] echo ""; echo "TEST SETUP:"; \ [2025-10-02T02:58:30.208Z] echo "Nothing to be done for setup."; \ [2025-10-02T02:58:30.208Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17593643469959/renaissance-movie-lens_0"; \ [2025-10-02T02:58:30.208Z] cd "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17593643469959/renaissance-movie-lens_0"; \ [2025-10-02T02:58:30.208Z] echo ""; echo "TESTING:"; \ [2025-10-02T02:58:30.208Z] "/Users/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17593643469959/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-02T02:58:30.208Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17593643469959/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-02T02:58:30.208Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-02T02:58:30.208Z] echo "Nothing to be done for teardown."; \ [2025-10-02T02:58:30.208Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17593643469959/TestTargetResult"; [2025-10-02T02:58:30.208Z] [2025-10-02T02:58:30.208Z] TEST SETUP: [2025-10-02T02:58:30.208Z] Nothing to be done for setup. [2025-10-02T02:58:30.208Z] [2025-10-02T02:58:30.208Z] TESTING: [2025-10-02T02:58:36.368Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-10-02T02:58:45.556Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-02T02:58:45.909Z] Training: 60056, validation: 20285, test: 19854 [2025-10-02T02:58:45.909Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-02T02:58:45.909Z] GC before operation: completed in 101.493 ms, heap usage 470.303 MB -> 76.297 MB. [2025-10-02T02:59:14.174Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T02:59:33.698Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T02:59:57.198Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:00:13.481Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:00:22.637Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:00:31.800Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:00:45.248Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:00:52.770Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:00:52.770Z] 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. [2025-10-02T03:00:52.770Z] The best model improves the baseline by 14.43%. [2025-10-02T03:00:53.126Z] Top recommended movies for user id 72: [2025-10-02T03:00:53.126Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:00:53.126Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:00:53.126Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:00:53.126Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:00:53.126Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:00:53.126Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (127236.284 ms) ====== [2025-10-02T03:00:53.126Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-02T03:00:53.126Z] GC before operation: completed in 119.059 ms, heap usage 854.711 MB -> 113.476 MB. [2025-10-02T03:01:12.664Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:01:32.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:01:55.505Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:02:11.797Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:02:20.959Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:02:30.150Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:02:41.280Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:02:50.455Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:02:50.455Z] 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. [2025-10-02T03:02:50.455Z] The best model improves the baseline by 14.43%. [2025-10-02T03:02:50.455Z] Top recommended movies for user id 72: [2025-10-02T03:02:50.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:02:50.456Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:02:50.456Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:02:50.456Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:02:50.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:02:50.456Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (117103.705 ms) ====== [2025-10-02T03:02:50.456Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-02T03:02:50.456Z] GC before operation: completed in 115.016 ms, heap usage 744.601 MB -> 119.394 MB. [2025-10-02T03:03:09.975Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:03:29.500Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:03:52.995Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:04:06.467Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:04:17.631Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:04:26.829Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:04:38.001Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:04:47.213Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:04:47.213Z] 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. [2025-10-02T03:04:47.213Z] The best model improves the baseline by 14.43%. [2025-10-02T03:04:47.213Z] Top recommended movies for user id 72: [2025-10-02T03:04:47.213Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:04:47.213Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:04:47.213Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:04:47.213Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:04:47.213Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:04:47.213Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (116168.510 ms) ====== [2025-10-02T03:04:47.213Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-02T03:04:47.213Z] GC before operation: completed in 113.750 ms, heap usage 480.668 MB -> 120.016 MB. [2025-10-02T03:05:06.720Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:05:26.239Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:05:49.708Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:06:03.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:06:12.381Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:06:21.547Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:06:32.687Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:06:41.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:06:41.843Z] 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. [2025-10-02T03:06:41.843Z] The best model improves the baseline by 14.43%. [2025-10-02T03:06:41.843Z] Top recommended movies for user id 72: [2025-10-02T03:06:41.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:06:41.843Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:06:41.843Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:06:41.843Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:06:41.843Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:06:41.843Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (115115.436 ms) ====== [2025-10-02T03:06:41.843Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-02T03:06:41.843Z] GC before operation: completed in 113.899 ms, heap usage 978.556 MB -> 120.640 MB. [2025-10-02T03:07:01.368Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:07:21.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:07:40.764Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:07:57.036Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:08:08.244Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:08:15.778Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:08:26.902Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:08:36.102Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:08:36.102Z] 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. [2025-10-02T03:08:36.102Z] The best model improves the baseline by 14.43%. [2025-10-02T03:08:36.102Z] Top recommended movies for user id 72: [2025-10-02T03:08:36.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:08:36.102Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:08:36.102Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:08:36.103Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:08:36.103Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:08:36.103Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (114156.236 ms) ====== [2025-10-02T03:08:36.103Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-02T03:08:36.103Z] GC before operation: completed in 110.503 ms, heap usage 734.004 MB -> 120.397 MB. [2025-10-02T03:08:55.615Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:09:15.159Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:09:34.700Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:09:50.909Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:10:02.059Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:10:09.578Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:10:20.778Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:10:29.950Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:10:29.950Z] 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. [2025-10-02T03:10:29.950Z] The best model improves the baseline by 14.43%. [2025-10-02T03:10:29.950Z] Top recommended movies for user id 72: [2025-10-02T03:10:29.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:10:29.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:10:29.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:10:29.950Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:10:29.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:10:29.950Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (113627.028 ms) ====== [2025-10-02T03:10:29.950Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-02T03:10:29.950Z] GC before operation: completed in 129.190 ms, heap usage 369.592 MB -> 120.596 MB. [2025-10-02T03:10:49.496Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:11:09.025Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:11:32.484Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:11:45.935Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:11:55.102Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:12:04.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:12:15.402Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:12:24.595Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:12:24.595Z] 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. [2025-10-02T03:12:24.595Z] The best model improves the baseline by 14.43%. [2025-10-02T03:12:24.953Z] Top recommended movies for user id 72: [2025-10-02T03:12:24.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:12:24.953Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:12:24.953Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:12:24.953Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:12:24.953Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:12:24.953Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (114850.277 ms) ====== [2025-10-02T03:12:24.953Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-02T03:12:24.953Z] GC before operation: completed in 114.909 ms, heap usage 734.524 MB -> 120.916 MB. [2025-10-02T03:12:44.549Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:13:04.057Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:13:27.536Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:13:40.975Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:13:52.091Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:14:01.267Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:14:12.385Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:14:21.580Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:14:21.580Z] 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. [2025-10-02T03:14:21.580Z] The best model improves the baseline by 14.43%. [2025-10-02T03:14:21.580Z] Top recommended movies for user id 72: [2025-10-02T03:14:21.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:14:21.580Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:14:21.580Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:14:21.580Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:14:21.580Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:14:21.580Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (116207.207 ms) ====== [2025-10-02T03:14:21.580Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-02T03:14:21.580Z] GC before operation: completed in 120.625 ms, heap usage 546.111 MB -> 120.879 MB. [2025-10-02T03:14:41.119Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:15:00.630Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:15:24.079Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:15:37.534Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:15:48.655Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:15:56.169Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:16:09.680Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:16:17.206Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:16:17.206Z] 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. [2025-10-02T03:16:17.206Z] The best model improves the baseline by 14.43%. [2025-10-02T03:16:17.206Z] Top recommended movies for user id 72: [2025-10-02T03:16:17.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:16:17.206Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:16:17.206Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:16:17.206Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:16:17.206Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:16:17.206Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (115663.911 ms) ====== [2025-10-02T03:16:17.206Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-02T03:16:17.206Z] GC before operation: completed in 116.861 ms, heap usage 396.200 MB -> 120.692 MB. [2025-10-02T03:16:36.765Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:16:56.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:17:19.792Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:17:33.635Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:17:42.910Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:17:52.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:18:03.251Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:18:12.412Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:18:12.412Z] 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. [2025-10-02T03:18:12.412Z] The best model improves the baseline by 14.43%. [2025-10-02T03:18:12.412Z] Top recommended movies for user id 72: [2025-10-02T03:18:12.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:18:12.412Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:18:12.412Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:18:12.412Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:18:12.412Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:18:12.412Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (115089.816 ms) ====== [2025-10-02T03:18:12.412Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-02T03:18:12.412Z] GC before operation: completed in 120.705 ms, heap usage 1.105 GB -> 121.229 MB. [2025-10-02T03:18:31.942Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:18:51.464Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:19:14.923Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:19:28.403Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:19:39.527Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:19:47.121Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:20:00.568Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:20:08.116Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:20:08.116Z] 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. [2025-10-02T03:20:08.116Z] The best model improves the baseline by 14.43%. [2025-10-02T03:20:08.116Z] Top recommended movies for user id 72: [2025-10-02T03:20:08.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:20:08.116Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:20:08.116Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:20:08.116Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:20:08.116Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:20:08.116Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (115554.347 ms) ====== [2025-10-02T03:20:08.116Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-02T03:20:08.116Z] GC before operation: completed in 116.267 ms, heap usage 744.077 MB -> 120.788 MB. [2025-10-02T03:20:27.635Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:20:51.219Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:21:20.244Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:21:33.697Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:21:44.815Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:21:52.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:22:03.501Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:22:12.692Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:22:12.692Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-02T03:22:12.692Z] The best model improves the baseline by 14.43%. [2025-10-02T03:22:12.692Z] Top recommended movies for user id 72: [2025-10-02T03:22:12.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:22:12.692Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:22:12.692Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:22:12.692Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:22:12.692Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:22:12.692Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (124354.792 ms) ====== [2025-10-02T03:22:12.692Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-02T03:22:12.692Z] GC before operation: completed in 123.231 ms, heap usage 313.170 MB -> 120.734 MB. [2025-10-02T03:22:32.222Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:22:51.812Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:23:15.277Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:23:28.721Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:23:39.860Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:23:47.385Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:24:00.855Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:24:08.375Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:24:08.375Z] 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. [2025-10-02T03:24:08.375Z] The best model improves the baseline by 14.43%. [2025-10-02T03:24:08.375Z] Top recommended movies for user id 72: [2025-10-02T03:24:08.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:24:08.375Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:24:08.375Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:24:08.375Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:24:08.375Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:24:08.375Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (116080.974 ms) ====== [2025-10-02T03:24:08.375Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-02T03:24:08.729Z] GC before operation: completed in 122.262 ms, heap usage 1.532 GB -> 121.298 MB. [2025-10-02T03:24:32.246Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:24:55.711Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:25:15.306Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:25:31.520Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:25:42.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:25:50.176Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:26:03.630Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:26:11.155Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:26:11.507Z] 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. [2025-10-02T03:26:11.507Z] The best model improves the baseline by 14.43%. [2025-10-02T03:26:11.861Z] Top recommended movies for user id 72: [2025-10-02T03:26:11.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:26:11.861Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:26:11.861Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:26:11.861Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:26:11.861Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:26:11.861Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (123111.533 ms) ====== [2025-10-02T03:26:11.861Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-02T03:26:11.861Z] GC before operation: completed in 122.763 ms, heap usage 316.426 MB -> 120.652 MB. [2025-10-02T03:26:35.410Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:26:58.884Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:27:22.347Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:27:38.594Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:27:49.743Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:27:58.940Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:28:12.384Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:28:23.562Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:28:23.562Z] 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. [2025-10-02T03:28:23.562Z] The best model improves the baseline by 14.43%. [2025-10-02T03:28:23.562Z] Top recommended movies for user id 72: [2025-10-02T03:28:23.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:28:23.562Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:28:23.562Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:28:23.562Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:28:23.562Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:28:23.562Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (130885.139 ms) ====== [2025-10-02T03:28:23.562Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-02T03:28:23.562Z] GC before operation: completed in 137.978 ms, heap usage 866.023 MB -> 121.258 MB. [2025-10-02T03:28:55.424Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:29:18.949Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:29:42.452Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:30:02.343Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:30:13.551Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:30:22.987Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:30:36.428Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:30:43.955Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:30:43.955Z] 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. [2025-10-02T03:30:43.955Z] The best model improves the baseline by 14.43%. [2025-10-02T03:30:43.955Z] Top recommended movies for user id 72: [2025-10-02T03:30:43.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:30:43.955Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:30:43.955Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:30:43.955Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:30:43.955Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:30:43.955Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (141183.267 ms) ====== [2025-10-02T03:30:43.955Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-02T03:30:44.308Z] GC before operation: completed in 112.751 ms, heap usage 289.561 MB -> 120.701 MB. [2025-10-02T03:31:03.823Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:31:23.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:31:42.924Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:31:59.195Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:32:10.326Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:32:17.845Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:32:31.293Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:32:38.806Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:32:38.806Z] 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. [2025-10-02T03:32:38.806Z] The best model improves the baseline by 14.43%. [2025-10-02T03:32:38.806Z] Top recommended movies for user id 72: [2025-10-02T03:32:38.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:32:38.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:32:38.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:32:38.806Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:32:38.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:32:38.806Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (114221.941 ms) ====== [2025-10-02T03:32:38.806Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-02T03:32:38.806Z] GC before operation: completed in 112.310 ms, heap usage 462.868 MB -> 120.905 MB. [2025-10-02T03:33:02.309Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:33:21.833Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:33:45.318Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:34:01.544Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:34:10.714Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:34:19.958Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:34:31.110Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:34:40.284Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:34:40.284Z] 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. [2025-10-02T03:34:40.284Z] The best model improves the baseline by 14.43%. [2025-10-02T03:34:40.284Z] Top recommended movies for user id 72: [2025-10-02T03:34:40.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:34:40.284Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:34:40.284Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:34:40.284Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:34:40.284Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:34:40.284Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (121622.650 ms) ====== [2025-10-02T03:34:40.284Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-02T03:34:40.284Z] GC before operation: completed in 119.552 ms, heap usage 776.943 MB -> 121.024 MB. [2025-10-02T03:34:59.813Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:35:19.338Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:35:42.823Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:35:56.322Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:36:09.770Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:36:17.286Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:36:40.497Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:36:48.021Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:36:48.021Z] 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. [2025-10-02T03:36:48.021Z] The best model improves the baseline by 14.43%. [2025-10-02T03:36:48.021Z] Top recommended movies for user id 72: [2025-10-02T03:36:48.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:36:48.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:36:48.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:36:48.021Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:36:48.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:36:48.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (127312.719 ms) ====== [2025-10-02T03:36:48.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-02T03:36:48.021Z] GC before operation: completed in 137.240 ms, heap usage 1.228 GB -> 121.136 MB. [2025-10-02T03:37:11.513Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T03:37:34.998Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T03:37:54.526Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T03:38:10.747Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T03:38:21.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T03:38:29.403Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T03:38:42.862Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T03:38:50.382Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T03:38:50.382Z] 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. [2025-10-02T03:38:50.382Z] The best model improves the baseline by 14.43%. [2025-10-02T03:38:50.382Z] Top recommended movies for user id 72: [2025-10-02T03:38:50.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-02T03:38:50.382Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-02T03:38:50.382Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-02T03:38:50.382Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-02T03:38:50.382Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-02T03:38:50.382Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (122580.473 ms) ====== [2025-10-02T03:38:51.599Z] ----------------------------------- [2025-10-02T03:38:51.599Z] renaissance-movie-lens_0_PASSED [2025-10-02T03:38:51.599Z] ----------------------------------- [2025-10-02T03:38:51.599Z] [2025-10-02T03:38:51.599Z] TEST TEARDOWN: [2025-10-02T03:38:51.599Z] Nothing to be done for teardown. [2025-10-02T03:38:51.953Z] renaissance-movie-lens_0 Finish Time: Thu Oct 2 04:38:51 2025 Epoch Time (ms): 1759376331601