Test Results Summary Service

renaissance-movie-lens_0

[2025-09-03T21:50:53.970Z] Running test renaissance-movie-lens_0 ... [2025-09-03T21:50:53.970Z] =============================================== [2025-09-03T21:50:53.970Z] renaissance-movie-lens_0 Start Time: Wed Sep 3 21:50:53 2025 Epoch Time (ms): 1756936253348 [2025-09-03T21:50:53.970Z] variation: NoOptions [2025-09-03T21:50:53.970Z] JVM_OPTIONS: [2025-09-03T21:50:53.970Z] { \ [2025-09-03T21:50:53.970Z] echo ""; echo "TEST SETUP:"; \ [2025-09-03T21:50:53.970Z] echo "Nothing to be done for setup."; \ [2025-09-03T21:50:53.970Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17569349668808/renaissance-movie-lens_0"; \ [2025-09-03T21:50:53.970Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17569349668808/renaissance-movie-lens_0"; \ [2025-09-03T21:50:53.970Z] echo ""; echo "TESTING:"; \ [2025-09-03T21:50:53.970Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/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_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17569349668808/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-03T21:50:53.970Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17569349668808/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-03T21:50:53.970Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-03T21:50:53.970Z] echo "Nothing to be done for teardown."; \ [2025-09-03T21:50:53.970Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17569349668808/TestTargetResult"; [2025-09-03T21:50:53.970Z] [2025-09-03T21:50:53.970Z] TEST SETUP: [2025-09-03T21:50:53.970Z] Nothing to be done for setup. [2025-09-03T21:50:53.970Z] [2025-09-03T21:50:53.970Z] TESTING: [2025-09-03T21:51:00.866Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-09-03T21:51:10.819Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-03T21:51:10.819Z] Training: 60056, validation: 20285, test: 19854 [2025-09-03T21:51:10.819Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-03T21:51:11.598Z] GC before operation: completed in 139.231 ms, heap usage 440.508 MB -> 75.841 MB. [2025-09-03T21:51:16.088Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:51:19.535Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:51:22.983Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:51:25.774Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:51:27.376Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:51:28.976Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:51:31.465Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:51:33.059Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:51:33.059Z] 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. [2025-09-03T21:51:33.840Z] The best model improves the baseline by 14.43%. [2025-09-03T21:51:33.840Z] Top recommended movies for user id 72: [2025-09-03T21:51:33.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:51:33.840Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:51:33.840Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:51:33.840Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:51:33.840Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:51:33.840Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22465.625 ms) ====== [2025-09-03T21:51:33.840Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-03T21:51:33.840Z] GC before operation: completed in 152.586 ms, heap usage 371.422 MB -> 89.901 MB. [2025-09-03T21:51:37.294Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:51:39.777Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:51:43.220Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:51:46.663Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:51:48.256Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:51:49.861Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:51:52.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:51:53.998Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:51:53.998Z] 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. [2025-09-03T21:51:53.998Z] The best model improves the baseline by 14.43%. [2025-09-03T21:51:53.998Z] Top recommended movies for user id 72: [2025-09-03T21:51:53.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:51:53.998Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:51:53.998Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:51:53.998Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:51:53.998Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:51:53.998Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20461.324 ms) ====== [2025-09-03T21:51:53.998Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-03T21:51:54.772Z] GC before operation: completed in 137.618 ms, heap usage 1.330 GB -> 95.098 MB. [2025-09-03T21:51:57.265Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:52:00.723Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:52:03.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:52:05.689Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:52:08.184Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:52:09.789Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:52:11.399Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:52:12.995Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:52:12.995Z] 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. [2025-09-03T21:52:12.995Z] The best model improves the baseline by 14.43%. [2025-09-03T21:52:13.770Z] Top recommended movies for user id 72: [2025-09-03T21:52:13.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:52:13.770Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:52:13.770Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:52:13.770Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:52:13.770Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:52:13.770Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18901.485 ms) ====== [2025-09-03T21:52:13.770Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-03T21:52:13.770Z] GC before operation: completed in 160.530 ms, heap usage 2.139 GB -> 97.147 MB. [2025-09-03T21:52:16.261Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:52:19.757Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:52:22.265Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:52:24.744Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:52:27.221Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:52:28.824Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:52:30.422Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:52:32.208Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:52:32.995Z] 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. [2025-09-03T21:52:32.995Z] The best model improves the baseline by 14.43%. [2025-09-03T21:52:32.995Z] Top recommended movies for user id 72: [2025-09-03T21:52:32.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:52:32.995Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:52:32.995Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:52:32.995Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:52:32.995Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:52:32.995Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19240.292 ms) ====== [2025-09-03T21:52:32.995Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-03T21:52:32.995Z] GC before operation: completed in 127.852 ms, heap usage 367.674 MB -> 91.696 MB. [2025-09-03T21:52:35.483Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:52:38.947Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:52:42.393Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:52:44.874Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:52:46.479Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:52:48.970Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:52:50.587Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:52:52.189Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:52:52.189Z] 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. [2025-09-03T21:52:52.189Z] The best model improves the baseline by 14.43%. [2025-09-03T21:52:52.973Z] Top recommended movies for user id 72: [2025-09-03T21:52:52.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:52:52.973Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:52:52.973Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:52:52.973Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:52:52.973Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:52:52.973Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19867.268 ms) ====== [2025-09-03T21:52:52.973Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-03T21:52:52.973Z] GC before operation: completed in 133.258 ms, heap usage 189.978 MB -> 91.019 MB. [2025-09-03T21:52:56.408Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:52:58.915Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:53:02.433Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:53:05.005Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:53:06.606Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:53:08.209Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:53:10.701Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:53:12.296Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:53:12.296Z] 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. [2025-09-03T21:53:12.296Z] The best model improves the baseline by 14.43%. [2025-09-03T21:53:13.076Z] Top recommended movies for user id 72: [2025-09-03T21:53:13.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:53:13.076Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:53:13.076Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:53:13.076Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:53:13.076Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:53:13.076Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19770.852 ms) ====== [2025-09-03T21:53:13.076Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-03T21:53:13.076Z] GC before operation: completed in 126.113 ms, heap usage 164.539 MB -> 91.476 MB. [2025-09-03T21:53:15.572Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:53:19.014Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:53:22.462Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:53:24.964Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:53:26.561Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:53:28.171Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:53:29.788Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:53:31.402Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:53:32.177Z] 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. [2025-09-03T21:53:32.177Z] The best model improves the baseline by 14.43%. [2025-09-03T21:53:32.177Z] Top recommended movies for user id 72: [2025-09-03T21:53:32.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:53:32.177Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:53:32.177Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:53:32.177Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:53:32.177Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:53:32.177Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19365.695 ms) ====== [2025-09-03T21:53:32.177Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-03T21:53:32.177Z] GC before operation: completed in 126.046 ms, heap usage 2.507 GB -> 97.911 MB. [2025-09-03T21:53:35.651Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:53:38.158Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:53:41.658Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:53:44.166Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:53:45.800Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:53:47.427Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:53:49.050Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:53:50.661Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:53:50.661Z] 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. [2025-09-03T21:53:50.661Z] The best model improves the baseline by 14.43%. [2025-09-03T21:53:50.661Z] Top recommended movies for user id 72: [2025-09-03T21:53:50.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:53:50.661Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:53:50.661Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:53:50.661Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:53:50.661Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:53:50.661Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18537.279 ms) ====== [2025-09-03T21:53:50.661Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-03T21:53:50.661Z] GC before operation: completed in 139.562 ms, heap usage 1.120 GB -> 96.009 MB. [2025-09-03T21:53:54.217Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:53:56.716Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:54:00.184Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:54:02.687Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:54:05.169Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:54:06.768Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:54:08.391Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:54:09.988Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:54:10.775Z] 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. [2025-09-03T21:54:10.775Z] The best model improves the baseline by 14.43%. [2025-09-03T21:54:10.775Z] Top recommended movies for user id 72: [2025-09-03T21:54:10.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:54:10.775Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:54:10.775Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:54:10.775Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:54:10.775Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:54:10.775Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19889.859 ms) ====== [2025-09-03T21:54:10.775Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-03T21:54:10.775Z] GC before operation: completed in 139.706 ms, heap usage 369.349 MB -> 91.652 MB. [2025-09-03T21:54:14.222Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:54:16.728Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:54:20.173Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:54:22.651Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:54:24.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:54:26.744Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:54:28.364Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:54:30.146Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:54:30.146Z] 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. [2025-09-03T21:54:30.146Z] The best model improves the baseline by 14.43%. [2025-09-03T21:54:30.921Z] Top recommended movies for user id 72: [2025-09-03T21:54:30.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:54:30.921Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:54:30.921Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:54:30.921Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:54:30.921Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:54:30.921Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19645.056 ms) ====== [2025-09-03T21:54:30.921Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-03T21:54:30.921Z] GC before operation: completed in 136.673 ms, heap usage 248.675 MB -> 91.717 MB. [2025-09-03T21:54:33.410Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:54:36.864Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:54:40.317Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:54:42.856Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:54:45.432Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:54:47.067Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:54:48.680Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:54:50.284Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:54:50.284Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-03T21:54:50.284Z] The best model improves the baseline by 14.43%. [2025-09-03T21:54:51.057Z] Top recommended movies for user id 72: [2025-09-03T21:54:51.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:54:51.057Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:54:51.057Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:54:51.057Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:54:51.057Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:54:51.057Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19912.418 ms) ====== [2025-09-03T21:54:51.057Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-03T21:54:51.057Z] GC before operation: completed in 128.679 ms, heap usage 323.251 MB -> 91.712 MB. [2025-09-03T21:54:53.533Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:54:56.986Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:55:00.424Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:55:02.933Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:55:04.534Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:55:06.130Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:55:08.619Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:55:10.252Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:55:10.252Z] 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. [2025-09-03T21:55:10.252Z] The best model improves the baseline by 14.43%. [2025-09-03T21:55:10.252Z] Top recommended movies for user id 72: [2025-09-03T21:55:10.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:55:10.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:55:10.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:55:10.252Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:55:10.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:55:10.252Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19488.230 ms) ====== [2025-09-03T21:55:10.252Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-03T21:55:10.252Z] GC before operation: completed in 137.155 ms, heap usage 2.846 GB -> 98.072 MB. [2025-09-03T21:55:13.696Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:55:16.181Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:55:19.616Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:55:22.130Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:55:23.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:55:26.213Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:55:27.812Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:55:29.412Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:55:29.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-09-03T21:55:29.412Z] The best model improves the baseline by 14.43%. [2025-09-03T21:55:30.192Z] Top recommended movies for user id 72: [2025-09-03T21:55:30.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:55:30.192Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:55:30.192Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:55:30.192Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:55:30.192Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:55:30.192Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19369.456 ms) ====== [2025-09-03T21:55:30.192Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-03T21:55:30.192Z] GC before operation: completed in 151.457 ms, heap usage 2.095 GB -> 97.791 MB. [2025-09-03T21:55:32.672Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:55:36.124Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:55:38.624Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:55:42.071Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:55:43.668Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:55:45.267Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:55:46.872Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:55:48.469Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:55:48.469Z] 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. [2025-09-03T21:55:48.469Z] The best model improves the baseline by 14.43%. [2025-09-03T21:55:49.245Z] Top recommended movies for user id 72: [2025-09-03T21:55:49.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:55:49.245Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:55:49.245Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:55:49.245Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:55:49.245Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:55:49.245Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19021.655 ms) ====== [2025-09-03T21:55:49.245Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-03T21:55:49.245Z] GC before operation: completed in 130.009 ms, heap usage 290.413 MB -> 91.573 MB. [2025-09-03T21:55:51.726Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:55:55.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:55:57.878Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:56:01.339Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:56:02.943Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:56:04.546Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:56:06.141Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:56:07.736Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:56:08.553Z] 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. [2025-09-03T21:56:08.553Z] The best model improves the baseline by 14.43%. [2025-09-03T21:56:08.553Z] Top recommended movies for user id 72: [2025-09-03T21:56:08.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:56:08.553Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:56:08.553Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:56:08.553Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:56:08.553Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:56:08.554Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19509.401 ms) ====== [2025-09-03T21:56:08.554Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-03T21:56:08.554Z] GC before operation: completed in 131.887 ms, heap usage 321.761 MB -> 91.933 MB. [2025-09-03T21:56:11.990Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:56:14.467Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:56:17.904Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:56:21.347Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:56:22.944Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:56:24.551Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:56:26.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:56:27.792Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:56:27.792Z] 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. [2025-09-03T21:56:27.792Z] The best model improves the baseline by 14.43%. [2025-09-03T21:56:27.792Z] Top recommended movies for user id 72: [2025-09-03T21:56:27.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:56:27.792Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:56:27.792Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:56:27.792Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:56:27.792Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:56:27.792Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19307.652 ms) ====== [2025-09-03T21:56:27.792Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-03T21:56:28.574Z] GC before operation: completed in 140.076 ms, heap usage 3.133 GB -> 98.197 MB. [2025-09-03T21:56:31.063Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:56:33.551Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:56:36.994Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:56:40.443Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:56:42.081Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:56:43.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:56:45.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:56:46.889Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:56:46.889Z] 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. [2025-09-03T21:56:46.889Z] The best model improves the baseline by 14.43%. [2025-09-03T21:56:47.663Z] Top recommended movies for user id 72: [2025-09-03T21:56:47.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:56:47.663Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:56:47.663Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:56:47.663Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:56:47.663Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:56:47.664Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19101.743 ms) ====== [2025-09-03T21:56:47.664Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-03T21:56:47.664Z] GC before operation: completed in 133.490 ms, heap usage 2.282 GB -> 98.071 MB. [2025-09-03T21:56:50.146Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:56:53.622Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:56:56.133Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:56:59.582Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:57:01.193Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:57:02.793Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:57:05.452Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:57:06.259Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:57:07.033Z] 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. [2025-09-03T21:57:07.033Z] The best model improves the baseline by 14.43%. [2025-09-03T21:57:07.033Z] Top recommended movies for user id 72: [2025-09-03T21:57:07.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:57:07.033Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:57:07.033Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:57:07.033Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:57:07.033Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:57:07.033Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19535.212 ms) ====== [2025-09-03T21:57:07.033Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-03T21:57:07.033Z] GC before operation: completed in 133.132 ms, heap usage 1.176 GB -> 96.226 MB. [2025-09-03T21:57:10.514Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:57:12.991Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:57:16.439Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:57:18.916Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:57:20.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:57:22.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:57:24.616Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:57:26.255Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:57:26.256Z] 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. [2025-09-03T21:57:26.256Z] The best model improves the baseline by 14.43%. [2025-09-03T21:57:27.029Z] Top recommended movies for user id 72: [2025-09-03T21:57:27.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:57:27.029Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:57:27.029Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:57:27.029Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:57:27.029Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:57:27.029Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19591.704 ms) ====== [2025-09-03T21:57:27.029Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-03T21:57:27.029Z] GC before operation: completed in 131.711 ms, heap usage 368.807 MB -> 91.853 MB. [2025-09-03T21:57:29.526Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-03T21:57:33.018Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-03T21:57:35.500Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-03T21:57:38.948Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-03T21:57:40.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-03T21:57:42.176Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-03T21:57:43.785Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-03T21:57:45.399Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-03T21:57:45.399Z] 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. [2025-09-03T21:57:45.399Z] The best model improves the baseline by 14.43%. [2025-09-03T21:57:46.177Z] Top recommended movies for user id 72: [2025-09-03T21:57:46.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-09-03T21:57:46.177Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-09-03T21:57:46.177Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-09-03T21:57:46.177Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-09-03T21:57:46.177Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-09-03T21:57:46.177Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18944.336 ms) ====== [2025-09-03T21:57:46.177Z] ----------------------------------- [2025-09-03T21:57:46.177Z] renaissance-movie-lens_0_PASSED [2025-09-03T21:57:46.177Z] ----------------------------------- [2025-09-03T21:57:46.177Z] [2025-09-03T21:57:46.177Z] TEST TEARDOWN: [2025-09-03T21:57:46.177Z] Nothing to be done for teardown. [2025-09-03T21:57:46.177Z] renaissance-movie-lens_0 Finish Time: Wed Sep 3 21:57:46 2025 Epoch Time (ms): 1756936666069