Test Results Summary Service

renaissance-movie-lens_0

[2025-07-31T01:02:13.313Z] Running test renaissance-movie-lens_0 ... [2025-07-31T01:02:13.313Z] =============================================== [2025-07-31T01:02:13.313Z] renaissance-movie-lens_0 Start Time: Wed Jul 30 20:02:10 2025 Epoch Time (ms): 1753923730796 [2025-07-31T01:02:13.313Z] variation: NoOptions [2025-07-31T01:02:13.313Z] JVM_OPTIONS: [2025-07-31T01:02:13.313Z] { \ [2025-07-31T01:02:13.313Z] echo ""; echo "TEST SETUP:"; \ [2025-07-31T01:02:13.313Z] echo "Nothing to be done for setup."; \ [2025-07-31T01:02:13.313Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539230213538/renaissance-movie-lens_0"; \ [2025-07-31T01:02:13.313Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539230213538/renaissance-movie-lens_0"; \ [2025-07-31T01:02:13.313Z] echo ""; echo "TESTING:"; \ [2025-07-31T01:02:13.313Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539230213538/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-31T01:02:13.313Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539230213538/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-31T01:02:13.313Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-31T01:02:13.313Z] echo "Nothing to be done for teardown."; \ [2025-07-31T01:02:13.313Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux_testList_1/aqa-tests/TKG/../TKG/output_17539230213538/TestTargetResult"; [2025-07-31T01:02:13.313Z] [2025-07-31T01:02:13.313Z] TEST SETUP: [2025-07-31T01:02:13.313Z] Nothing to be done for setup. [2025-07-31T01:02:13.313Z] [2025-07-31T01:02:13.313Z] TESTING: [2025-07-31T01:02:18.299Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-07-31T01:02:25.760Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-31T01:02:26.424Z] Training: 60056, validation: 20285, test: 19854 [2025-07-31T01:02:26.424Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-31T01:02:26.424Z] GC before operation: completed in 103.474 ms, heap usage 195.188 MB -> 76.901 MB. [2025-07-31T01:02:31.510Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:02:35.554Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:02:39.547Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:02:42.566Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:02:43.965Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:02:46.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:02:48.280Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:02:49.681Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:02:49.681Z] 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. [2025-07-31T01:02:49.681Z] The best model improves the baseline by 14.43%. [2025-07-31T01:02:50.345Z] Top recommended movies for user id 72: [2025-07-31T01:02:50.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:02:50.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:02:50.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:02:50.345Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:02:50.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:02:50.345Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23852.607 ms) ====== [2025-07-31T01:02:50.345Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-31T01:02:50.345Z] GC before operation: completed in 133.005 ms, heap usage 287.917 MB -> 93.237 MB. [2025-07-31T01:02:53.366Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:02:56.387Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:03:00.337Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:03:02.496Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:03:04.652Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:03:06.064Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:03:08.221Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:03:09.628Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:03:10.292Z] 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. [2025-07-31T01:03:10.292Z] The best model improves the baseline by 14.43%. [2025-07-31T01:03:10.292Z] Top recommended movies for user id 72: [2025-07-31T01:03:10.292Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:03:10.292Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:03:10.292Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:03:10.292Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:03:10.292Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:03:10.292Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19913.503 ms) ====== [2025-07-31T01:03:10.292Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-31T01:03:10.292Z] GC before operation: completed in 101.475 ms, heap usage 337.236 MB -> 91.019 MB. [2025-07-31T01:03:13.329Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:03:16.340Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:03:20.309Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:03:22.511Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:03:24.697Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:03:26.100Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:03:27.485Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:03:29.642Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:03:29.642Z] 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. [2025-07-31T01:03:29.642Z] The best model improves the baseline by 14.43%. [2025-07-31T01:03:30.303Z] Top recommended movies for user id 72: [2025-07-31T01:03:30.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:03:30.303Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:03:30.303Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:03:30.303Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:03:30.303Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:03:30.303Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19607.907 ms) ====== [2025-07-31T01:03:30.303Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-31T01:03:30.303Z] GC before operation: completed in 105.932 ms, heap usage 449.774 MB -> 91.794 MB. [2025-07-31T01:03:32.485Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:03:35.501Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:03:38.522Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:03:40.754Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:03:42.588Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:03:44.791Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:03:46.246Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:03:48.402Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:03:48.402Z] 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. [2025-07-31T01:03:48.402Z] The best model improves the baseline by 14.43%. [2025-07-31T01:03:49.070Z] Top recommended movies for user id 72: [2025-07-31T01:03:49.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:03:49.070Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:03:49.070Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:03:49.070Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:03:49.070Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:03:49.070Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18718.557 ms) ====== [2025-07-31T01:03:49.070Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-31T01:03:49.070Z] GC before operation: completed in 108.726 ms, heap usage 418.594 MB -> 92.064 MB. [2025-07-31T01:03:51.249Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:03:54.243Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:03:56.482Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:03:59.531Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:04:00.909Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:04:03.069Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:04:04.465Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:04:06.617Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:04:06.618Z] 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. [2025-07-31T01:04:06.618Z] The best model improves the baseline by 14.43%. [2025-07-31T01:04:07.280Z] Top recommended movies for user id 72: [2025-07-31T01:04:07.280Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:04:07.280Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:04:07.280Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:04:07.280Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:04:07.280Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:04:07.280Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18062.164 ms) ====== [2025-07-31T01:04:07.280Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-31T01:04:07.280Z] GC before operation: completed in 106.881 ms, heap usage 366.667 MB -> 92.069 MB. [2025-07-31T01:04:10.299Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:04:12.461Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:04:15.573Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:04:17.730Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:04:19.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:04:21.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:04:22.689Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:04:24.940Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:04:24.940Z] 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. [2025-07-31T01:04:24.940Z] The best model improves the baseline by 14.43%. [2025-07-31T01:04:24.940Z] Top recommended movies for user id 72: [2025-07-31T01:04:24.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:04:24.940Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:04:24.940Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:04:24.940Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:04:24.940Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:04:24.940Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18037.208 ms) ====== [2025-07-31T01:04:24.940Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-31T01:04:24.940Z] GC before operation: completed in 111.537 ms, heap usage 370.216 MB -> 92.293 MB. [2025-07-31T01:04:27.944Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:04:30.118Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:04:33.222Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:04:35.391Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:04:37.565Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:04:38.954Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:04:40.365Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:04:42.550Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:04:42.550Z] 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. [2025-07-31T01:04:42.550Z] The best model improves the baseline by 14.43%. [2025-07-31T01:04:42.550Z] Top recommended movies for user id 72: [2025-07-31T01:04:42.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:04:42.550Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:04:42.550Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:04:42.550Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:04:42.550Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:04:42.550Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17472.843 ms) ====== [2025-07-31T01:04:42.550Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-31T01:04:42.550Z] GC before operation: completed in 126.627 ms, heap usage 448.456 MB -> 95.489 MB. [2025-07-31T01:04:45.560Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:04:47.748Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:04:50.785Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:04:53.804Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:04:55.186Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:04:56.648Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:04:58.855Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:05:00.256Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:05:00.917Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-07-31T01:05:00.917Z] The best model improves the baseline by 14.43%. [2025-07-31T01:05:00.917Z] Top recommended movies for user id 72: [2025-07-31T01:05:00.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:05:00.917Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:05:00.917Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:05:00.917Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:05:00.917Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:05:00.917Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18071.375 ms) ====== [2025-07-31T01:05:00.917Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-31T01:05:00.917Z] GC before operation: completed in 124.829 ms, heap usage 262.691 MB -> 92.452 MB. [2025-07-31T01:05:03.928Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:05:06.096Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:05:09.089Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:05:11.258Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:05:12.655Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:05:14.029Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:05:16.193Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:05:17.584Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:05:18.249Z] 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. [2025-07-31T01:05:18.249Z] The best model improves the baseline by 14.43%. [2025-07-31T01:05:18.249Z] Top recommended movies for user id 72: [2025-07-31T01:05:18.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:05:18.249Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:05:18.249Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:05:18.249Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:05:18.249Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:05:18.249Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17179.406 ms) ====== [2025-07-31T01:05:18.249Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-31T01:05:18.249Z] GC before operation: completed in 115.337 ms, heap usage 304.603 MB -> 92.196 MB. [2025-07-31T01:05:21.264Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:05:23.466Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:05:26.591Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:05:28.747Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:05:30.913Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:05:32.287Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:05:34.438Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:05:35.863Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:05:35.863Z] 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. [2025-07-31T01:05:35.863Z] The best model improves the baseline by 14.43%. [2025-07-31T01:05:36.524Z] Top recommended movies for user id 72: [2025-07-31T01:05:36.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:05:36.525Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:05:36.525Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:05:36.525Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:05:36.525Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:05:36.525Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18076.990 ms) ====== [2025-07-31T01:05:36.525Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-31T01:05:36.525Z] GC before operation: completed in 126.497 ms, heap usage 224.950 MB -> 92.458 MB. [2025-07-31T01:05:39.554Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:05:41.725Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:05:43.909Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:05:46.070Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:05:47.458Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:05:48.867Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:05:51.193Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:05:51.868Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:05:52.541Z] 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. [2025-07-31T01:05:52.541Z] The best model improves the baseline by 14.43%. [2025-07-31T01:05:52.541Z] Top recommended movies for user id 72: [2025-07-31T01:05:52.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:05:52.541Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:05:52.541Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:05:52.541Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:05:52.541Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:05:52.541Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16062.533 ms) ====== [2025-07-31T01:05:52.541Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-31T01:05:52.541Z] GC before operation: completed in 119.890 ms, heap usage 230.155 MB -> 92.144 MB. [2025-07-31T01:05:55.556Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:05:58.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:06:00.775Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:06:03.782Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:06:05.161Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:06:06.582Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:06:07.986Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:06:10.159Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:06:10.159Z] 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. [2025-07-31T01:06:10.159Z] The best model improves the baseline by 14.43%. [2025-07-31T01:06:10.159Z] Top recommended movies for user id 72: [2025-07-31T01:06:10.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:06:10.159Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:06:10.159Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:06:10.159Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:06:10.159Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:06:10.159Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17522.392 ms) ====== [2025-07-31T01:06:10.159Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-31T01:06:10.159Z] GC before operation: completed in 87.731 ms, heap usage 383.634 MB -> 92.652 MB. [2025-07-31T01:06:13.167Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:06:16.204Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:06:18.396Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:06:21.402Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:06:22.787Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:06:24.959Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:06:26.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:06:27.764Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:06:28.445Z] 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. [2025-07-31T01:06:28.445Z] The best model improves the baseline by 14.43%. [2025-07-31T01:06:28.445Z] Top recommended movies for user id 72: [2025-07-31T01:06:28.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:06:28.445Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:06:28.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:06:28.445Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:06:28.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:06:28.445Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18124.717 ms) ====== [2025-07-31T01:06:28.445Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-31T01:06:28.445Z] GC before operation: completed in 121.793 ms, heap usage 471.915 MB -> 92.746 MB. [2025-07-31T01:06:31.453Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:06:33.637Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:06:36.741Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:06:38.922Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:06:41.091Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:06:42.474Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:06:43.865Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:06:46.045Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:06:46.045Z] 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. [2025-07-31T01:06:46.045Z] The best model improves the baseline by 14.43%. [2025-07-31T01:06:46.045Z] Top recommended movies for user id 72: [2025-07-31T01:06:46.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:06:46.045Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:06:46.045Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:06:46.045Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:06:46.045Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:06:46.045Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17739.582 ms) ====== [2025-07-31T01:06:46.045Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-31T01:06:46.709Z] GC before operation: completed in 95.197 ms, heap usage 300.594 MB -> 92.378 MB. [2025-07-31T01:06:48.867Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:06:51.053Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:06:53.231Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:06:56.262Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:06:57.640Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:06:59.043Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:07:01.237Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:07:02.614Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:07:02.614Z] 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. [2025-07-31T01:07:03.276Z] The best model improves the baseline by 14.43%. [2025-07-31T01:07:03.276Z] Top recommended movies for user id 72: [2025-07-31T01:07:03.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:07:03.276Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:07:03.276Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:07:03.276Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:07:03.276Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:07:03.276Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16699.546 ms) ====== [2025-07-31T01:07:03.276Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-31T01:07:03.276Z] GC before operation: completed in 103.249 ms, heap usage 138.737 MB -> 92.606 MB. [2025-07-31T01:07:06.293Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:07:08.457Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:07:10.640Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:07:13.655Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:07:15.054Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:07:16.463Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:07:18.715Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:07:20.113Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:07:20.776Z] 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. [2025-07-31T01:07:20.776Z] The best model improves the baseline by 14.43%. [2025-07-31T01:07:20.776Z] Top recommended movies for user id 72: [2025-07-31T01:07:20.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:07:20.776Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:07:20.776Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:07:20.776Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:07:20.776Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:07:20.776Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17487.525 ms) ====== [2025-07-31T01:07:20.776Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-31T01:07:20.776Z] GC before operation: completed in 95.693 ms, heap usage 486.312 MB -> 92.701 MB. [2025-07-31T01:07:22.963Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:07:25.989Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:07:29.042Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:07:31.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:07:33.392Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:07:34.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:07:36.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:07:38.366Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:07:38.366Z] 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. [2025-07-31T01:07:38.366Z] The best model improves the baseline by 14.43%. [2025-07-31T01:07:38.366Z] Top recommended movies for user id 72: [2025-07-31T01:07:38.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:07:38.366Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:07:38.366Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:07:38.366Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:07:38.366Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:07:38.366Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17682.576 ms) ====== [2025-07-31T01:07:38.366Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-31T01:07:38.366Z] GC before operation: completed in 113.537 ms, heap usage 399.630 MB -> 92.692 MB. [2025-07-31T01:07:41.378Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:07:44.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:07:46.569Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:07:49.592Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:07:50.994Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:07:52.395Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:07:53.779Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:07:55.171Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:07:55.910Z] 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. [2025-07-31T01:07:55.910Z] The best model improves the baseline by 14.43%. [2025-07-31T01:07:55.910Z] Top recommended movies for user id 72: [2025-07-31T01:07:55.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:07:55.911Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:07:55.911Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:07:55.911Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:07:55.911Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:07:55.911Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17106.116 ms) ====== [2025-07-31T01:07:55.911Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-31T01:07:55.911Z] GC before operation: completed in 155.271 ms, heap usage 733.087 MB -> 96.104 MB. [2025-07-31T01:07:58.549Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:08:01.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:08:04.622Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:08:06.789Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:08:08.187Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:08:10.348Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:08:11.740Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:08:13.128Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:08:13.790Z] 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. [2025-07-31T01:08:13.790Z] The best model improves the baseline by 14.43%. [2025-07-31T01:08:13.790Z] Top recommended movies for user id 72: [2025-07-31T01:08:13.790Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:08:13.790Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:08:13.790Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:08:13.790Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:08:13.790Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:08:13.790Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17910.635 ms) ====== [2025-07-31T01:08:13.790Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-31T01:08:13.790Z] GC before operation: completed in 109.988 ms, heap usage 369.082 MB -> 92.635 MB. [2025-07-31T01:08:16.797Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:08:18.974Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:08:22.028Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:08:25.242Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:08:26.660Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:08:28.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:08:29.538Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:08:31.714Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:08:31.714Z] 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. [2025-07-31T01:08:31.714Z] The best model improves the baseline by 14.43%. [2025-07-31T01:08:31.714Z] Top recommended movies for user id 72: [2025-07-31T01:08:31.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-07-31T01:08:31.714Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-07-31T01:08:31.714Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-07-31T01:08:31.714Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-07-31T01:08:31.714Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-07-31T01:08:31.714Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17979.932 ms) ====== [2025-07-31T01:08:33.101Z] ----------------------------------- [2025-07-31T01:08:33.101Z] renaissance-movie-lens_0_PASSED [2025-07-31T01:08:33.101Z] ----------------------------------- [2025-07-31T01:08:33.101Z] [2025-07-31T01:08:33.101Z] TEST TEARDOWN: [2025-07-31T01:08:33.101Z] Nothing to be done for teardown. [2025-07-31T01:08:33.101Z] renaissance-movie-lens_0 Finish Time: Wed Jul 30 20:08:30 2025 Epoch Time (ms): 1753924110403