Test Results Summary Service

renaissance-movie-lens_0

[2025-05-21T20:56:38.219Z] Running test renaissance-movie-lens_0 ... [2025-05-21T20:56:38.219Z] =============================================== [2025-05-21T20:56:38.219Z] renaissance-movie-lens_0 Start Time: Wed May 21 20:56:37 2025 Epoch Time (ms): 1747860997235 [2025-05-21T20:56:38.219Z] variation: NoOptions [2025-05-21T20:56:38.219Z] JVM_OPTIONS: [2025-05-21T20:56:38.219Z] { \ [2025-05-21T20:56:38.219Z] echo ""; echo "TEST SETUP:"; \ [2025-05-21T20:56:38.219Z] echo "Nothing to be done for setup."; \ [2025-05-21T20:56:38.219Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17478595149418/renaissance-movie-lens_0"; \ [2025-05-21T20:56:38.219Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17478595149418/renaissance-movie-lens_0"; \ [2025-05-21T20:56:38.219Z] echo ""; echo "TESTING:"; \ [2025-05-21T20:56:38.219Z] "/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_17478595149418/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-21T20:56:38.219Z] 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_17478595149418/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-21T20:56:38.219Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-21T20:56:38.219Z] echo "Nothing to be done for teardown."; \ [2025-05-21T20:56:38.219Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17478595149418/TestTargetResult"; [2025-05-21T20:56:38.219Z] [2025-05-21T20:56:38.219Z] TEST SETUP: [2025-05-21T20:56:38.219Z] Nothing to be done for setup. [2025-05-21T20:56:38.219Z] [2025-05-21T20:56:38.219Z] TESTING: [2025-05-21T20:56:46.371Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-05-21T20:57:02.346Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-21T20:57:02.346Z] Training: 60056, validation: 20285, test: 19854 [2025-05-21T20:57:02.346Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-21T20:57:02.346Z] GC before operation: completed in 97.959 ms, heap usage 286.809 MB -> 77.514 MB. [2025-05-21T20:57:10.505Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:57:13.587Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:57:18.961Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:57:23.108Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:57:24.816Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:57:27.874Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:57:29.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:57:32.945Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:57:32.945Z] 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. [2025-05-21T20:57:32.945Z] The best model improves the baseline by 14.43%. [2025-05-21T20:57:33.897Z] Top recommended movies for user id 72: [2025-05-21T20:57:33.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:57:33.897Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:57:33.897Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:57:33.897Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:57:33.897Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:57:33.897Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32523.371 ms) ====== [2025-05-21T20:57:33.897Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-21T20:57:33.897Z] GC before operation: completed in 196.075 ms, heap usage 1.348 GB -> 97.912 MB. [2025-05-21T20:57:38.067Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:57:41.172Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:57:45.320Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:57:49.550Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:57:51.505Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:57:53.465Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:57:55.425Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:57:57.377Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:57:57.377Z] 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. [2025-05-21T20:57:57.377Z] The best model improves the baseline by 14.43%. [2025-05-21T20:57:58.325Z] Top recommended movies for user id 72: [2025-05-21T20:57:58.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:57:58.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:57:58.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:57:58.325Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:57:58.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:57:58.325Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24043.030 ms) ====== [2025-05-21T20:57:58.325Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-21T20:57:58.325Z] GC before operation: completed in 150.215 ms, heap usage 1.105 GB -> 95.927 MB. [2025-05-21T20:58:01.345Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:58:04.363Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:58:07.562Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:58:10.576Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:58:12.532Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:58:14.491Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:58:16.456Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:58:18.411Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:58:19.373Z] 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. [2025-05-21T20:58:19.373Z] The best model improves the baseline by 14.43%. [2025-05-21T20:58:19.373Z] Top recommended movies for user id 72: [2025-05-21T20:58:19.373Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:58:19.373Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:58:19.373Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:58:19.373Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:58:19.373Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:58:19.373Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21102.131 ms) ====== [2025-05-21T20:58:19.373Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-21T20:58:19.373Z] GC before operation: completed in 148.862 ms, heap usage 1.308 GB -> 97.279 MB. [2025-05-21T20:58:22.392Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:58:26.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:58:28.536Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:58:31.614Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:58:33.573Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:58:35.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:58:38.243Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:58:39.338Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:58:39.338Z] 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. [2025-05-21T20:58:39.338Z] The best model improves the baseline by 14.43%. [2025-05-21T20:58:40.295Z] Top recommended movies for user id 72: [2025-05-21T20:58:40.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:58:40.295Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:58:40.295Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:58:40.295Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:58:40.295Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:58:40.295Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20537.416 ms) ====== [2025-05-21T20:58:40.295Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-21T20:58:40.295Z] GC before operation: completed in 142.053 ms, heap usage 615.751 MB -> 92.966 MB. [2025-05-21T20:58:43.312Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:58:46.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:58:48.518Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:58:51.538Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:58:52.490Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:58:54.448Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:58:56.405Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:58:58.358Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:58:58.358Z] 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. [2025-05-21T20:58:58.358Z] The best model improves the baseline by 14.43%. [2025-05-21T20:58:58.358Z] Top recommended movies for user id 72: [2025-05-21T20:58:58.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:58:58.358Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:58:58.358Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:58:58.358Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:58:58.358Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:58:58.358Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18639.516 ms) ====== [2025-05-21T20:58:58.358Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-21T20:58:59.311Z] GC before operation: completed in 141.580 ms, heap usage 1.160 GB -> 97.344 MB. [2025-05-21T20:59:02.329Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:59:04.318Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:59:07.338Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:59:09.298Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:59:11.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:59:13.209Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:59:14.162Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:59:16.144Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:59:17.112Z] 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. [2025-05-21T20:59:17.112Z] The best model improves the baseline by 14.43%. [2025-05-21T20:59:17.112Z] Top recommended movies for user id 72: [2025-05-21T20:59:17.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:59:17.112Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:59:17.112Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:59:17.112Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:59:17.112Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:59:17.112Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (17958.134 ms) ====== [2025-05-21T20:59:17.112Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-21T20:59:17.112Z] GC before operation: completed in 146.706 ms, heap usage 1.756 GB -> 98.680 MB. [2025-05-21T20:59:20.137Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:59:22.102Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:59:25.140Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:59:28.174Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:59:30.187Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:59:32.159Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:59:34.129Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:59:35.099Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:59:36.055Z] 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. [2025-05-21T20:59:36.055Z] The best model improves the baseline by 14.43%. [2025-05-21T20:59:36.055Z] Top recommended movies for user id 72: [2025-05-21T20:59:36.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:59:36.055Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:59:36.055Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:59:36.055Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:59:36.055Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:59:36.055Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19148.674 ms) ====== [2025-05-21T20:59:36.055Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-21T20:59:36.055Z] GC before operation: completed in 147.391 ms, heap usage 1.071 GB -> 97.366 MB. [2025-05-21T20:59:39.099Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T20:59:42.122Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T20:59:45.308Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T20:59:47.269Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T20:59:49.962Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T20:59:50.942Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T20:59:52.907Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T20:59:54.870Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T20:59:54.870Z] 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. [2025-05-21T20:59:54.870Z] The best model improves the baseline by 14.43%. [2025-05-21T20:59:55.822Z] Top recommended movies for user id 72: [2025-05-21T20:59:55.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T20:59:55.822Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T20:59:55.822Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T20:59:55.822Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T20:59:55.822Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T20:59:55.822Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19133.523 ms) ====== [2025-05-21T20:59:55.822Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-21T20:59:55.822Z] GC before operation: completed in 131.607 ms, heap usage 764.674 MB -> 96.908 MB. [2025-05-21T20:59:58.850Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:00:01.865Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:00:04.882Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:00:09.045Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:00:10.003Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:00:11.962Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:00:13.927Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:00:15.896Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:00:15.896Z] 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. [2025-05-21T21:00:16.849Z] The best model improves the baseline by 14.43%. [2025-05-21T21:00:16.849Z] Top recommended movies for user id 72: [2025-05-21T21:00:16.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:00:16.849Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:00:16.849Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:00:16.849Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:00:16.849Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:00:16.849Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21066.174 ms) ====== [2025-05-21T21:00:16.849Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-21T21:00:16.849Z] GC before operation: completed in 190.395 ms, heap usage 2.247 GB -> 99.114 MB. [2025-05-21T21:00:19.872Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:00:22.909Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:00:25.955Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:00:29.134Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:00:30.089Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:00:32.056Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:00:34.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:00:35.962Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:00:36.912Z] 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. [2025-05-21T21:00:36.912Z] The best model improves the baseline by 14.43%. [2025-05-21T21:00:36.912Z] Top recommended movies for user id 72: [2025-05-21T21:00:36.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:00:36.912Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:00:36.912Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:00:36.913Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:00:36.913Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:00:36.913Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19888.958 ms) ====== [2025-05-21T21:00:36.913Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-21T21:00:36.913Z] GC before operation: completed in 144.818 ms, heap usage 1008.600 MB -> 97.266 MB. [2025-05-21T21:00:39.939Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:00:42.969Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:00:45.993Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:00:49.012Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:00:50.978Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:00:51.935Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:00:53.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:00:55.866Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:00:55.866Z] 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. [2025-05-21T21:00:55.866Z] The best model improves the baseline by 14.43%. [2025-05-21T21:00:56.823Z] Top recommended movies for user id 72: [2025-05-21T21:00:56.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:00:56.823Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:00:56.823Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:00:56.823Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:00:56.823Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:00:56.823Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19550.545 ms) ====== [2025-05-21T21:00:56.823Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-21T21:00:56.823Z] GC before operation: completed in 152.675 ms, heap usage 1.660 GB -> 98.376 MB. [2025-05-21T21:00:59.838Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:01:01.790Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:01:05.554Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:01:07.509Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:01:09.469Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:01:11.430Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:01:13.386Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:01:15.348Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:01:15.348Z] 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. [2025-05-21T21:01:15.348Z] The best model improves the baseline by 14.43%. [2025-05-21T21:01:15.348Z] Top recommended movies for user id 72: [2025-05-21T21:01:15.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:01:15.348Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:01:15.348Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:01:15.348Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:01:15.348Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:01:15.348Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19066.895 ms) ====== [2025-05-21T21:01:15.348Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-21T21:01:15.348Z] GC before operation: completed in 139.836 ms, heap usage 986.519 MB -> 97.124 MB. [2025-05-21T21:01:18.360Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:01:22.512Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:01:24.487Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:01:27.530Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:01:29.626Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:01:31.585Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:01:33.603Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:01:34.558Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:01:35.522Z] 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. [2025-05-21T21:01:35.522Z] The best model improves the baseline by 14.43%. [2025-05-21T21:01:35.522Z] Top recommended movies for user id 72: [2025-05-21T21:01:35.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:01:35.522Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:01:35.522Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:01:35.522Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:01:35.522Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:01:35.522Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19861.012 ms) ====== [2025-05-21T21:01:35.522Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-21T21:01:35.522Z] GC before operation: completed in 149.595 ms, heap usage 1.307 GB -> 98.102 MB. [2025-05-21T21:01:38.546Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:01:42.690Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:01:44.645Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:01:47.663Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:01:49.724Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:01:51.677Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:01:53.634Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:01:54.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:01:55.698Z] 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. [2025-05-21T21:01:55.698Z] The best model improves the baseline by 14.43%. [2025-05-21T21:01:55.698Z] Top recommended movies for user id 72: [2025-05-21T21:01:55.698Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:01:55.698Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:01:55.698Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:01:55.698Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:01:55.698Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:01:55.698Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19773.180 ms) ====== [2025-05-21T21:01:55.698Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-21T21:01:55.698Z] GC before operation: completed in 145.088 ms, heap usage 421.858 MB -> 93.238 MB. [2025-05-21T21:01:58.817Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:02:02.075Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:02:05.116Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:02:08.151Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:02:09.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:02:11.066Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:02:13.896Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:02:14.850Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:02:15.802Z] 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. [2025-05-21T21:02:15.802Z] The best model improves the baseline by 14.43%. [2025-05-21T21:02:15.802Z] Top recommended movies for user id 72: [2025-05-21T21:02:15.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:02:15.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:02:15.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:02:15.803Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:02:15.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:02:15.803Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19933.192 ms) ====== [2025-05-21T21:02:15.803Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-21T21:02:15.803Z] GC before operation: completed in 157.102 ms, heap usage 1.021 GB -> 97.579 MB. [2025-05-21T21:02:18.817Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:02:21.839Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:02:24.865Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:02:27.886Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:02:29.927Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:02:30.879Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:02:32.831Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:02:34.785Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:02:35.738Z] 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. [2025-05-21T21:02:35.738Z] The best model improves the baseline by 14.43%. [2025-05-21T21:02:35.738Z] Top recommended movies for user id 72: [2025-05-21T21:02:35.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:02:35.738Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:02:35.738Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:02:35.738Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:02:35.738Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:02:35.738Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19921.943 ms) ====== [2025-05-21T21:02:35.738Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-21T21:02:35.738Z] GC before operation: completed in 141.803 ms, heap usage 1.456 GB -> 98.207 MB. [2025-05-21T21:02:38.793Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:02:41.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:02:44.867Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:02:47.880Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:02:49.829Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:02:51.784Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:02:53.738Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:02:55.702Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:02:55.702Z] 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. [2025-05-21T21:02:55.702Z] The best model improves the baseline by 14.43%. [2025-05-21T21:02:55.702Z] Top recommended movies for user id 72: [2025-05-21T21:02:55.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:02:55.702Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:02:55.702Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:02:55.702Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:02:55.702Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:02:55.702Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20060.170 ms) ====== [2025-05-21T21:02:55.702Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-21T21:02:55.702Z] GC before operation: completed in 193.006 ms, heap usage 1.100 GB -> 97.640 MB. [2025-05-21T21:02:59.855Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:03:02.871Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:03:04.822Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:03:07.841Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:03:09.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:03:11.750Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:03:13.736Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:03:15.695Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:03:15.695Z] 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. [2025-05-21T21:03:15.695Z] The best model improves the baseline by 14.43%. [2025-05-21T21:03:15.695Z] Top recommended movies for user id 72: [2025-05-21T21:03:15.695Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:03:15.695Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:03:15.695Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:03:15.695Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:03:15.695Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:03:15.695Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19862.901 ms) ====== [2025-05-21T21:03:15.695Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-21T21:03:15.695Z] GC before operation: completed in 152.916 ms, heap usage 712.266 MB -> 96.858 MB. [2025-05-21T21:03:18.714Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:03:22.868Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:03:24.832Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:03:27.412Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:03:30.478Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:03:31.469Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:03:33.430Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:03:35.570Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:03:35.570Z] 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. [2025-05-21T21:03:35.570Z] The best model improves the baseline by 14.43%. [2025-05-21T21:03:35.570Z] Top recommended movies for user id 72: [2025-05-21T21:03:35.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:03:35.570Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:03:35.570Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:03:35.570Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:03:35.570Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:03:35.570Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19807.934 ms) ====== [2025-05-21T21:03:35.570Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-21T21:03:36.520Z] GC before operation: completed in 155.772 ms, heap usage 1.883 GB -> 99.080 MB. [2025-05-21T21:03:38.573Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:03:42.759Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:03:45.783Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:03:48.836Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:03:49.795Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:03:51.749Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:03:53.703Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:03:55.652Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:03:56.712Z] 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. [2025-05-21T21:03:56.712Z] The best model improves the baseline by 14.43%. [2025-05-21T21:03:56.712Z] Top recommended movies for user id 72: [2025-05-21T21:03:56.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:03:56.712Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:03:56.712Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:03:56.712Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:03:56.712Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:03:56.712Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20320.380 ms) ====== [2025-05-21T21:03:58.665Z] ----------------------------------- [2025-05-21T21:03:58.665Z] renaissance-movie-lens_0_PASSED [2025-05-21T21:03:58.665Z] ----------------------------------- [2025-05-21T21:03:58.665Z] [2025-05-21T21:03:58.665Z] TEST TEARDOWN: [2025-05-21T21:03:58.665Z] Nothing to be done for teardown. [2025-05-21T21:03:58.665Z] renaissance-movie-lens_0 Finish Time: Wed May 21 21:03:57 2025 Epoch Time (ms): 1747861437812