[2025-03-26T21:54:58.844Z] Running test renaissance-movie-lens_0 ... [2025-03-26T21:54:58.844Z] =============================================== [2025-03-26T21:54:58.844Z] renaissance-movie-lens_0 Start Time: Wed Mar 26 21:54:57 2025 Epoch Time (ms): 1743026097955 [2025-03-26T21:54:58.844Z] variation: NoOptions [2025-03-26T21:54:58.844Z] JVM_OPTIONS: [2025-03-26T21:54:58.844Z] { \ [2025-03-26T21:54:58.844Z] echo ""; echo "TEST SETUP:"; \ [2025-03-26T21:54:58.844Z] echo "Nothing to be done for setup."; \ [2025-03-26T21:54:58.844Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17430247615623/renaissance-movie-lens_0"; \ [2025-03-26T21:54:58.844Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17430247615623/renaissance-movie-lens_0"; \ [2025-03-26T21:54:58.844Z] echo ""; echo "TESTING:"; \ [2025-03-26T21:54:58.844Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17430247615623/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-26T21:54:58.844Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17430247615623/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-26T21:54:58.844Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-26T21:54:58.844Z] echo "Nothing to be done for teardown."; \ [2025-03-26T21:54:58.844Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17430247615623/TestTargetResult"; [2025-03-26T21:54:58.844Z] [2025-03-26T21:54:58.844Z] TEST SETUP: [2025-03-26T21:54:58.844Z] Nothing to be done for setup. [2025-03-26T21:54:58.844Z] [2025-03-26T21:54:58.844Z] TESTING: [2025-03-26T21:55:05.646Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-03-26T21:55:21.450Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-26T21:55:21.450Z] Training: 60056, validation: 20285, test: 19854 [2025-03-26T21:55:21.450Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-26T21:55:21.450Z] GC before operation: completed in 216.425 ms, heap usage 233.987 MB -> 77.342 MB. [2025-03-26T21:55:29.617Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:55:33.782Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:55:37.954Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:55:42.136Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:55:44.105Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:55:46.073Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:55:48.046Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:55:50.125Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:55:50.125Z] 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. [2025-03-26T21:55:51.081Z] The best model improves the baseline by 14.43%. [2025-03-26T21:55:51.081Z] Top recommended movies for user id 72: [2025-03-26T21:55:51.081Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:55:51.081Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:55:51.081Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:55:51.081Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:55:51.081Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:55:51.081Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30225.673 ms) ====== [2025-03-26T21:55:51.081Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-26T21:55:51.081Z] GC before operation: completed in 325.390 ms, heap usage 1.073 GB -> 95.462 MB. [2025-03-26T21:55:54.113Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:55:58.285Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:56:01.316Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:56:04.348Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:56:06.470Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:56:07.427Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:56:10.127Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:56:12.109Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:56:12.109Z] 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. [2025-03-26T21:56:12.109Z] The best model improves the baseline by 14.43%. [2025-03-26T21:56:12.109Z] Top recommended movies for user id 72: [2025-03-26T21:56:12.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:56:12.109Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:56:12.109Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:56:12.109Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:56:12.109Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:56:12.109Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20895.675 ms) ====== [2025-03-26T21:56:12.109Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-26T21:56:12.109Z] GC before operation: completed in 251.724 ms, heap usage 1.061 GB -> 96.012 MB. [2025-03-26T21:56:15.143Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:56:18.182Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:56:22.355Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:56:24.320Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:56:26.283Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:56:28.247Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:56:29.205Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:56:31.172Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:56:31.172Z] 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. [2025-03-26T21:56:31.172Z] The best model improves the baseline by 14.43%. [2025-03-26T21:56:32.133Z] Top recommended movies for user id 72: [2025-03-26T21:56:32.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:56:32.133Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:56:32.133Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:56:32.133Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:56:32.133Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:56:32.133Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19389.743 ms) ====== [2025-03-26T21:56:32.133Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-26T21:56:32.133Z] GC before operation: completed in 183.577 ms, heap usage 440.536 MB -> 92.578 MB. [2025-03-26T21:56:35.172Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:56:38.212Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:56:40.245Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:56:43.286Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:56:45.256Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:56:46.212Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:56:48.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:56:50.141Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:56:50.141Z] 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. [2025-03-26T21:56:50.141Z] The best model improves the baseline by 14.43%. [2025-03-26T21:56:50.141Z] Top recommended movies for user id 72: [2025-03-26T21:56:50.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:56:50.141Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:56:50.141Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:56:50.141Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:56:50.141Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:56:50.141Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18643.069 ms) ====== [2025-03-26T21:56:50.141Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-26T21:56:51.097Z] GC before operation: completed in 244.870 ms, heap usage 1.057 GB -> 97.060 MB. [2025-03-26T21:56:53.063Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:56:56.095Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:56:59.133Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:57:01.102Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:57:03.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:57:05.035Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:57:06.064Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:57:08.027Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:57:08.027Z] 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. [2025-03-26T21:57:08.027Z] The best model improves the baseline by 14.43%. [2025-03-26T21:57:08.027Z] Top recommended movies for user id 72: [2025-03-26T21:57:08.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:57:08.027Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:57:08.027Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:57:08.027Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:57:08.027Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:57:08.027Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17464.513 ms) ====== [2025-03-26T21:57:08.027Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-26T21:57:08.027Z] GC before operation: completed in 205.656 ms, heap usage 640.555 MB -> 93.093 MB. [2025-03-26T21:57:11.056Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:57:14.086Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:57:17.122Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:57:19.087Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:57:21.056Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:57:22.014Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:57:23.983Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:57:25.950Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:57:25.950Z] 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. [2025-03-26T21:57:25.950Z] The best model improves the baseline by 14.43%. [2025-03-26T21:57:25.950Z] Top recommended movies for user id 72: [2025-03-26T21:57:25.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:57:25.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:57:25.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:57:25.950Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:57:25.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:57:25.950Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17483.668 ms) ====== [2025-03-26T21:57:25.950Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-26T21:57:25.950Z] GC before operation: completed in 196.438 ms, heap usage 1.918 GB -> 98.919 MB. [2025-03-26T21:57:28.981Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:57:32.021Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:57:33.981Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:57:37.011Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:57:37.969Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:57:39.937Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:57:40.901Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:57:42.427Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:57:43.386Z] 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. [2025-03-26T21:57:43.386Z] The best model improves the baseline by 14.43%. [2025-03-26T21:57:43.386Z] Top recommended movies for user id 72: [2025-03-26T21:57:43.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:57:43.386Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:57:43.386Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:57:43.386Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:57:43.386Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:57:43.386Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17020.441 ms) ====== [2025-03-26T21:57:43.386Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-26T21:57:43.386Z] GC before operation: completed in 248.932 ms, heap usage 1.601 GB -> 98.310 MB. [2025-03-26T21:57:45.532Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:57:48.562Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:57:51.592Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:57:53.560Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:57:55.521Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:57:56.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:57:58.446Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:57:59.400Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:58:00.355Z] 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. [2025-03-26T21:58:00.355Z] The best model improves the baseline by 14.43%. [2025-03-26T21:58:00.355Z] Top recommended movies for user id 72: [2025-03-26T21:58:00.355Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:58:00.355Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:58:00.355Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:58:00.355Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:58:00.355Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:58:00.355Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16824.877 ms) ====== [2025-03-26T21:58:00.355Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-26T21:58:00.356Z] GC before operation: completed in 215.119 ms, heap usage 407.448 MB -> 93.375 MB. [2025-03-26T21:58:03.387Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:58:06.556Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:58:08.523Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:58:11.563Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:58:12.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:58:14.495Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:58:16.456Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:58:17.414Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:58:17.414Z] 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. [2025-03-26T21:58:17.414Z] The best model improves the baseline by 14.43%. [2025-03-26T21:58:18.444Z] Top recommended movies for user id 72: [2025-03-26T21:58:18.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:58:18.444Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:58:18.444Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:58:18.444Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:58:18.444Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:58:18.444Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17587.472 ms) ====== [2025-03-26T21:58:18.444Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-26T21:58:18.444Z] GC before operation: completed in 247.894 ms, heap usage 1.458 GB -> 98.024 MB. [2025-03-26T21:58:21.473Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:58:23.433Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:58:26.472Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:58:29.519Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:58:30.481Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:58:32.449Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:58:33.410Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:58:35.377Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:58:35.377Z] 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. [2025-03-26T21:58:35.377Z] The best model improves the baseline by 14.43%. [2025-03-26T21:58:35.377Z] Top recommended movies for user id 72: [2025-03-26T21:58:35.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:58:35.377Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:58:35.377Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:58:35.377Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:58:35.377Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:58:35.377Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17419.223 ms) ====== [2025-03-26T21:58:35.377Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-26T21:58:36.339Z] GC before operation: completed in 258.843 ms, heap usage 1.696 GB -> 98.554 MB. [2025-03-26T21:58:39.378Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:58:41.355Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:58:44.480Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:58:46.450Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:58:48.420Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:58:50.387Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:58:51.343Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:58:53.313Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:58:53.313Z] 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. [2025-03-26T21:58:53.313Z] The best model improves the baseline by 14.43%. [2025-03-26T21:58:53.313Z] Top recommended movies for user id 72: [2025-03-26T21:58:53.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:58:53.313Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:58:53.313Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:58:53.313Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:58:53.313Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:58:53.313Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17647.612 ms) ====== [2025-03-26T21:58:53.313Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-26T21:58:54.269Z] GC before operation: completed in 254.935 ms, heap usage 1.141 GB -> 97.375 MB. [2025-03-26T21:58:57.308Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:58:59.272Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:59:02.307Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:59:04.270Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:59:06.298Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:59:07.254Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:59:09.957Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:59:11.053Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:59:11.053Z] 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. [2025-03-26T21:59:11.053Z] The best model improves the baseline by 14.43%. [2025-03-26T21:59:11.053Z] Top recommended movies for user id 72: [2025-03-26T21:59:11.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:59:11.053Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:59:11.053Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:59:11.053Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:59:11.053Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:59:11.053Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17198.935 ms) ====== [2025-03-26T21:59:11.053Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-26T21:59:11.053Z] GC before operation: completed in 231.625 ms, heap usage 416.607 MB -> 93.257 MB. [2025-03-26T21:59:14.085Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:59:17.114Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:59:19.080Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:59:22.112Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:59:24.082Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:59:25.039Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:59:27.002Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:59:28.965Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:59:28.965Z] 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. [2025-03-26T21:59:28.965Z] The best model improves the baseline by 14.43%. [2025-03-26T21:59:28.965Z] Top recommended movies for user id 72: [2025-03-26T21:59:28.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:59:28.965Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:59:28.965Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:59:28.965Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:59:28.965Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:59:28.965Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17655.286 ms) ====== [2025-03-26T21:59:28.965Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-26T21:59:28.965Z] GC before operation: completed in 244.175 ms, heap usage 1.015 GB -> 97.419 MB. [2025-03-26T21:59:31.997Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:59:35.024Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:59:36.987Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:59:40.022Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:59:41.985Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:59:42.941Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:59:44.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:59:45.857Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:59:46.815Z] 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. [2025-03-26T21:59:46.815Z] The best model improves the baseline by 14.43%. [2025-03-26T21:59:46.815Z] Top recommended movies for user id 72: [2025-03-26T21:59:46.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T21:59:46.815Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T21:59:46.815Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T21:59:46.815Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T21:59:46.815Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T21:59:46.815Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17416.046 ms) ====== [2025-03-26T21:59:46.815Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-26T21:59:46.815Z] GC before operation: completed in 252.918 ms, heap usage 1.607 GB -> 98.504 MB. [2025-03-26T21:59:49.845Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:59:52.873Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:59:54.836Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:59:57.868Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:59:58.825Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:00:00.788Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:00:01.747Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:00:03.711Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:00:03.711Z] 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. [2025-03-26T22:00:03.711Z] The best model improves the baseline by 14.43%. [2025-03-26T22:00:03.711Z] Top recommended movies for user id 72: [2025-03-26T22:00:03.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:00:03.711Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:00:03.711Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:00:03.711Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:00:03.711Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:00:03.711Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16994.474 ms) ====== [2025-03-26T22:00:03.711Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-26T22:00:03.711Z] GC before operation: completed in 286.397 ms, heap usage 1.480 GB -> 98.544 MB. [2025-03-26T22:00:06.740Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T22:00:09.771Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T22:00:12.800Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T22:00:14.765Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T22:00:16.733Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:00:17.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:00:19.653Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:00:21.615Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:00:21.615Z] 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. [2025-03-26T22:00:21.615Z] The best model improves the baseline by 14.43%. [2025-03-26T22:00:21.615Z] Top recommended movies for user id 72: [2025-03-26T22:00:21.615Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:00:21.615Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:00:21.615Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:00:21.615Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:00:21.615Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:00:21.615Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17534.365 ms) ====== [2025-03-26T22:00:21.615Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-26T22:00:21.615Z] GC before operation: completed in 255.228 ms, heap usage 641.956 MB -> 93.560 MB. [2025-03-26T22:00:24.642Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T22:00:27.672Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T22:00:29.634Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T22:00:32.665Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T22:00:34.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:00:35.591Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:00:37.554Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:00:38.510Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:00:39.467Z] 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. [2025-03-26T22:00:39.467Z] The best model improves the baseline by 14.43%. [2025-03-26T22:00:39.467Z] Top recommended movies for user id 72: [2025-03-26T22:00:39.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:00:39.467Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:00:39.467Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:00:39.467Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:00:39.467Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:00:39.467Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17260.455 ms) ====== [2025-03-26T22:00:39.467Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-26T22:00:39.467Z] GC before operation: completed in 215.367 ms, heap usage 1.500 GB -> 98.570 MB. [2025-03-26T22:00:41.901Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T22:00:44.934Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T22:00:47.966Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T22:00:49.967Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T22:00:51.930Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:00:52.885Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:00:54.845Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:00:56.808Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:00:56.808Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-03-26T22:00:56.808Z] The best model improves the baseline by 14.43%. [2025-03-26T22:00:56.808Z] Top recommended movies for user id 72: [2025-03-26T22:00:56.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:00:56.808Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:00:56.808Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:00:56.808Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:00:56.808Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:00:56.808Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17297.421 ms) ====== [2025-03-26T22:00:56.808Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-26T22:00:56.808Z] GC before operation: completed in 248.388 ms, heap usage 548.523 MB -> 93.399 MB. [2025-03-26T22:00:59.835Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T22:01:01.798Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T22:01:04.830Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T22:01:06.793Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T22:01:08.756Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:01:09.712Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:01:11.680Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:01:13.642Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:01:13.642Z] 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. [2025-03-26T22:01:13.642Z] The best model improves the baseline by 14.43%. [2025-03-26T22:01:13.642Z] Top recommended movies for user id 72: [2025-03-26T22:01:13.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:01:13.642Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:01:13.642Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:01:13.642Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:01:13.642Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:01:13.642Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16575.131 ms) ====== [2025-03-26T22:01:13.642Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-26T22:01:13.642Z] GC before operation: completed in 243.399 ms, heap usage 1.316 GB -> 98.111 MB. [2025-03-26T22:01:16.668Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T22:01:19.696Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T22:01:21.661Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T22:01:23.624Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T22:01:25.588Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T22:01:26.543Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T22:01:28.505Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T22:01:29.462Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T22:01:30.424Z] 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. [2025-03-26T22:01:30.424Z] The best model improves the baseline by 14.43%. [2025-03-26T22:01:30.424Z] Top recommended movies for user id 72: [2025-03-26T22:01:30.424Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-03-26T22:01:30.424Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-03-26T22:01:30.424Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-03-26T22:01:30.424Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-03-26T22:01:30.424Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-03-26T22:01:30.424Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16495.814 ms) ====== [2025-03-26T22:01:31.381Z] ----------------------------------- [2025-03-26T22:01:31.381Z] renaissance-movie-lens_0_PASSED [2025-03-26T22:01:31.381Z] ----------------------------------- [2025-03-26T22:01:31.381Z] [2025-03-26T22:01:31.381Z] TEST TEARDOWN: [2025-03-26T22:01:31.381Z] Nothing to be done for teardown. [2025-03-26T22:01:32.336Z] renaissance-movie-lens_0 Finish Time: Wed Mar 26 22:01:31 2025 Epoch Time (ms): 1743026491297