[2025-06-19T13:27:07.629Z] Running test renaissance-movie-lens_0 ... [2025-06-19T13:27:07.629Z] =============================================== [2025-06-19T13:27:07.629Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 13:27:07 2025 Epoch Time (ms): 1750339627367 [2025-06-19T13:27:07.629Z] variation: NoOptions [2025-06-19T13:27:07.952Z] JVM_OPTIONS: [2025-06-19T13:27:07.952Z] { \ [2025-06-19T13:27:07.952Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T13:27:07.952Z] echo "Nothing to be done for setup."; \ [2025-06-19T13:27:07.952Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17503375553837\\renaissance-movie-lens_0"; \ [2025-06-19T13:27:07.952Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17503375553837\\renaissance-movie-lens_0"; \ [2025-06-19T13:27:07.952Z] echo ""; echo "TESTING:"; \ [2025-06-19T13:27:07.952Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17503375553837\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-06-19T13:27:07.952Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17503375553837\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T13:27:07.952Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T13:27:07.952Z] echo "Nothing to be done for teardown."; \ [2025-06-19T13:27:07.952Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17503375553837\\TestTargetResult"; [2025-06-19T13:27:07.952Z] [2025-06-19T13:27:07.952Z] TEST SETUP: [2025-06-19T13:27:07.952Z] Nothing to be done for setup. [2025-06-19T13:27:07.952Z] [2025-06-19T13:27:07.952Z] TESTING: [2025-06-19T13:27:23.511Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-19T13:27:30.822Z] 13:27:29.940 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-19T13:27:32.456Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T13:27:33.182Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T13:27:33.183Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T13:27:33.524Z] GC before operation: completed in 180.194 ms, heap usage 328.336 MB -> 75.162 MB. [2025-06-19T13:27:49.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:27:58.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:28:08.911Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:28:17.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:28:22.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:28:28.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:28:33.721Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:28:38.328Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:28:38.665Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:28:38.665Z] The best model improves the baseline by 14.52%. [2025-06-19T13:28:39.362Z] Top recommended movies for user id 72: [2025-06-19T13:28:39.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:28:39.362Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:28:39.362Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:28:39.362Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:28:39.362Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:28:39.362Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65815.407 ms) ====== [2025-06-19T13:28:39.362Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T13:28:39.362Z] GC before operation: completed in 177.636 ms, heap usage 216.171 MB -> 85.868 MB. [2025-06-19T13:28:48.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:28:56.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:29:05.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:29:14.202Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:29:17.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:29:22.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:29:28.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:29:32.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:29:33.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:29:33.520Z] The best model improves the baseline by 14.52%. [2025-06-19T13:29:33.860Z] Top recommended movies for user id 72: [2025-06-19T13:29:33.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:29:33.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:29:33.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:29:33.861Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:29:33.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:29:33.861Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (54327.595 ms) ====== [2025-06-19T13:29:33.861Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T13:29:33.861Z] GC before operation: completed in 177.374 ms, heap usage 198.271 MB -> 87.938 MB. [2025-06-19T13:29:42.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:29:51.312Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:30:00.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:30:08.687Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:30:12.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:30:16.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:30:22.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:30:27.356Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:30:27.356Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:30:27.356Z] The best model improves the baseline by 14.52%. [2025-06-19T13:30:27.717Z] Top recommended movies for user id 72: [2025-06-19T13:30:27.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:30:27.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:30:27.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:30:27.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:30:27.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:30:27.717Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (53754.552 ms) ====== [2025-06-19T13:30:27.717Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T13:30:27.717Z] GC before operation: completed in 156.779 ms, heap usage 201.191 MB -> 88.585 MB. [2025-06-19T13:30:36.422Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:30:45.092Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:30:53.808Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:31:02.518Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:31:07.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:31:11.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:31:17.534Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:31:22.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:31:22.472Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:31:22.472Z] The best model improves the baseline by 14.52%. [2025-06-19T13:31:22.819Z] Top recommended movies for user id 72: [2025-06-19T13:31:22.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:31:22.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:31:22.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:31:22.819Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:31:22.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:31:22.819Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (54959.415 ms) ====== [2025-06-19T13:31:22.819Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T13:31:22.819Z] GC before operation: completed in 164.978 ms, heap usage 203.466 MB -> 88.848 MB. [2025-06-19T13:31:31.518Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:31:38.609Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:31:49.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:31:56.393Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:32:01.022Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:32:04.676Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:32:10.408Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:32:15.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:32:15.333Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:32:15.333Z] The best model improves the baseline by 14.52%. [2025-06-19T13:32:15.679Z] Top recommended movies for user id 72: [2025-06-19T13:32:15.679Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:32:15.679Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:32:15.679Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:32:15.679Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:32:15.679Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:32:15.679Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (52780.182 ms) ====== [2025-06-19T13:32:15.679Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T13:32:15.999Z] GC before operation: completed in 160.725 ms, heap usage 169.022 MB -> 88.787 MB. [2025-06-19T13:32:24.756Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:32:33.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:32:42.208Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:32:49.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:32:52.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:32:57.556Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:33:03.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:33:07.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:33:07.744Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:33:07.744Z] The best model improves the baseline by 14.52%. [2025-06-19T13:33:08.169Z] Top recommended movies for user id 72: [2025-06-19T13:33:08.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:33:08.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:33:08.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:33:08.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:33:08.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:33:08.169Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (52350.776 ms) ====== [2025-06-19T13:33:08.169Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T13:33:08.490Z] GC before operation: completed in 155.608 ms, heap usage 245.688 MB -> 89.129 MB. [2025-06-19T13:33:17.169Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:33:24.244Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:33:33.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:33:40.920Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:33:45.540Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:33:50.362Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:33:55.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:33:59.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:33:59.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:33:59.967Z] The best model improves the baseline by 14.52%. [2025-06-19T13:34:00.327Z] Top recommended movies for user id 72: [2025-06-19T13:34:00.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:34:00.327Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:34:00.327Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:34:00.327Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:34:00.327Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:34:00.327Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (51990.862 ms) ====== [2025-06-19T13:34:00.327Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T13:34:00.653Z] GC before operation: completed in 164.313 ms, heap usage 199.036 MB -> 89.066 MB. [2025-06-19T13:34:09.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:34:16.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:34:25.281Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:34:33.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:34:37.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:34:43.361Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:34:47.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:34:52.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:34:52.620Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:34:52.620Z] The best model improves the baseline by 14.52%. [2025-06-19T13:34:52.989Z] Top recommended movies for user id 72: [2025-06-19T13:34:52.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:34:52.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:34:52.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:34:52.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:34:52.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:34:52.989Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (52288.804 ms) ====== [2025-06-19T13:34:52.989Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T13:34:52.989Z] GC before operation: completed in 152.813 ms, heap usage 185.220 MB -> 89.249 MB. [2025-06-19T13:35:01.700Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:35:10.430Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:35:19.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:35:26.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:35:30.911Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:35:35.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:35:41.353Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:35:46.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:35:46.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:35:46.859Z] The best model improves the baseline by 14.52%. [2025-06-19T13:35:47.186Z] Top recommended movies for user id 72: [2025-06-19T13:35:47.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:35:47.186Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:35:47.186Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:35:47.186Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:35:47.186Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:35:47.186Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (53937.522 ms) ====== [2025-06-19T13:35:47.186Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T13:35:47.186Z] GC before operation: completed in 175.854 ms, heap usage 124.903 MB -> 89.723 MB. [2025-06-19T13:35:55.901Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:36:04.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:36:13.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:36:20.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:36:25.216Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:36:29.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:36:34.458Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:36:39.086Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:36:39.779Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:36:39.779Z] The best model improves the baseline by 14.52%. [2025-06-19T13:36:40.103Z] Top recommended movies for user id 72: [2025-06-19T13:36:40.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:36:40.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:36:40.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:36:40.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:36:40.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:36:40.104Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (53020.725 ms) ====== [2025-06-19T13:36:40.104Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T13:36:40.104Z] GC before operation: completed in 154.849 ms, heap usage 180.713 MB -> 89.326 MB. [2025-06-19T13:36:48.800Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:36:57.500Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:37:06.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:37:13.336Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:37:17.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:37:22.542Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:37:27.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:37:31.802Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:37:32.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:37:32.122Z] The best model improves the baseline by 14.52%. [2025-06-19T13:37:32.443Z] Top recommended movies for user id 72: [2025-06-19T13:37:32.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:37:32.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:37:32.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:37:32.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:37:32.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:37:32.443Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (52201.191 ms) ====== [2025-06-19T13:37:32.443Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T13:37:32.751Z] GC before operation: completed in 159.437 ms, heap usage 172.956 MB -> 89.031 MB. [2025-06-19T13:37:41.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:37:48.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:37:57.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:38:05.953Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:38:09.619Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:38:14.211Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:38:18.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:38:23.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:38:24.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:38:24.130Z] The best model improves the baseline by 14.52%. [2025-06-19T13:38:24.460Z] Top recommended movies for user id 72: [2025-06-19T13:38:24.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:38:24.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:38:24.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:38:24.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:38:24.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:38:24.460Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51744.667 ms) ====== [2025-06-19T13:38:24.460Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T13:38:24.460Z] GC before operation: completed in 159.843 ms, heap usage 217.341 MB -> 89.271 MB. [2025-06-19T13:38:33.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:38:41.878Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:38:50.553Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:38:59.229Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:39:03.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:39:08.472Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:39:13.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:39:17.684Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:39:18.367Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:39:18.367Z] The best model improves the baseline by 14.52%. [2025-06-19T13:39:18.694Z] Top recommended movies for user id 72: [2025-06-19T13:39:18.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:39:18.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:39:18.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:39:18.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:39:18.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:39:18.694Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (54106.937 ms) ====== [2025-06-19T13:39:18.694Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T13:39:18.694Z] GC before operation: completed in 154.083 ms, heap usage 176.272 MB -> 89.381 MB. [2025-06-19T13:39:27.443Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:39:34.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:39:43.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:39:51.957Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:39:55.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:40:00.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:40:04.936Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:40:09.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:40:10.247Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:40:10.247Z] The best model improves the baseline by 14.52%. [2025-06-19T13:40:10.570Z] Top recommended movies for user id 72: [2025-06-19T13:40:10.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:40:10.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:40:10.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:40:10.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:40:10.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:40:10.570Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (51659.259 ms) ====== [2025-06-19T13:40:10.570Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T13:40:10.570Z] GC before operation: completed in 153.406 ms, heap usage 217.353 MB -> 89.216 MB. [2025-06-19T13:40:19.272Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:40:28.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:40:36.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:40:43.854Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:40:47.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:40:52.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:40:57.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:41:01.538Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:41:02.232Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:41:02.232Z] The best model improves the baseline by 14.52%. [2025-06-19T13:41:02.562Z] Top recommended movies for user id 72: [2025-06-19T13:41:02.562Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:41:02.562Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:41:02.562Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:41:02.562Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:41:02.562Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:41:02.562Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (51975.569 ms) ====== [2025-06-19T13:41:02.562Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T13:41:02.902Z] GC before operation: completed in 165.327 ms, heap usage 171.546 MB -> 89.403 MB. [2025-06-19T13:41:11.654Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:41:18.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:41:27.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:41:36.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:41:39.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:41:44.434Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:41:50.216Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:41:54.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:41:54.848Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:41:54.848Z] The best model improves the baseline by 14.52%. [2025-06-19T13:41:55.172Z] Top recommended movies for user id 72: [2025-06-19T13:41:55.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:41:55.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:41:55.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:41:55.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:41:55.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:41:55.172Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (52405.782 ms) ====== [2025-06-19T13:41:55.172Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T13:41:55.172Z] GC before operation: completed in 172.646 ms, heap usage 211.436 MB -> 89.266 MB. [2025-06-19T13:42:03.884Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:42:11.005Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:42:19.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:42:28.472Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:42:32.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:42:36.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:42:41.423Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:42:46.057Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:42:46.057Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:42:46.057Z] The best model improves the baseline by 14.52%. [2025-06-19T13:42:46.379Z] Top recommended movies for user id 72: [2025-06-19T13:42:46.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:42:46.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:42:46.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:42:46.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:42:46.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:42:46.379Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50946.316 ms) ====== [2025-06-19T13:42:46.379Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T13:42:46.379Z] GC before operation: completed in 165.979 ms, heap usage 217.960 MB -> 89.355 MB. [2025-06-19T13:42:55.074Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:43:03.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:43:12.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:43:21.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:43:24.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:43:29.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:43:34.070Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:43:38.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:43:39.421Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:43:39.421Z] The best model improves the baseline by 14.52%. [2025-06-19T13:43:39.806Z] Top recommended movies for user id 72: [2025-06-19T13:43:39.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:43:39.806Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:43:39.806Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:43:39.806Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:43:39.806Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:43:39.806Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (53399.001 ms) ====== [2025-06-19T13:43:39.806Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T13:43:40.136Z] GC before operation: completed in 154.355 ms, heap usage 174.952 MB -> 89.180 MB. [2025-06-19T13:43:48.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:43:55.929Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:44:04.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:44:13.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:44:17.033Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:44:21.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:44:26.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:44:30.934Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:44:30.934Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:44:31.374Z] The best model improves the baseline by 14.52%. [2025-06-19T13:44:31.374Z] Top recommended movies for user id 72: [2025-06-19T13:44:31.374Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:44:31.374Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:44:31.374Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:44:31.374Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:44:31.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:44:31.375Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (51428.190 ms) ====== [2025-06-19T13:44:31.375Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T13:44:31.696Z] GC before operation: completed in 153.192 ms, heap usage 220.589 MB -> 89.307 MB. [2025-06-19T13:44:40.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T13:44:47.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T13:44:56.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T13:45:04.892Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T13:45:08.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T13:45:13.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T13:45:17.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T13:45:22.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T13:45:22.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T13:45:22.823Z] The best model improves the baseline by 14.52%. [2025-06-19T13:45:22.823Z] Top recommended movies for user id 72: [2025-06-19T13:45:22.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T13:45:22.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T13:45:22.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T13:45:22.823Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T13:45:22.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T13:45:22.823Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (51404.386 ms) ====== [2025-06-19T13:45:23.503Z] ----------------------------------- [2025-06-19T13:45:23.503Z] renaissance-movie-lens_0_PASSED [2025-06-19T13:45:23.503Z] ----------------------------------- [2025-06-19T13:45:23.825Z] [2025-06-19T13:45:23.825Z] TEST TEARDOWN: [2025-06-19T13:45:23.825Z] Nothing to be done for teardown. [2025-06-19T13:45:24.146Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 13:45:23 2025 Epoch Time (ms): 1750340723884