[2025-08-30T05:40:36.285Z] Running test renaissance-movie-lens_0 ... [2025-08-30T05:40:36.285Z] =============================================== [2025-08-30T05:40:36.608Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 05:40:36 2025 Epoch Time (ms): 1756532436328 [2025-08-30T05:40:36.608Z] variation: NoOptions [2025-08-30T05:40:36.608Z] JVM_OPTIONS: [2025-08-30T05:40:36.608Z] { \ [2025-08-30T05:40:36.608Z] echo ""; echo "TEST SETUP:"; \ [2025-08-30T05:40:36.608Z] echo "Nothing to be done for setup."; \ [2025-08-30T05:40:36.608Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17565308225683\\renaissance-movie-lens_0"; \ [2025-08-30T05:40:36.608Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17565308225683\\renaissance-movie-lens_0"; \ [2025-08-30T05:40:36.608Z] echo ""; echo "TESTING:"; \ [2025-08-30T05:40:36.608Z] "c:/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17565308225683\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-08-30T05:40:36.608Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17565308225683\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-30T05:40:36.608Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-30T05:40:36.608Z] echo "Nothing to be done for teardown."; \ [2025-08-30T05:40:36.608Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17565308225683\\TestTargetResult"; [2025-08-30T05:40:36.918Z] [2025-08-30T05:40:36.918Z] TEST SETUP: [2025-08-30T05:40:36.918Z] Nothing to be done for setup. [2025-08-30T05:40:36.918Z] [2025-08-30T05:40:36.918Z] TESTING: [2025-08-30T05:40:49.791Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-30T05:40:57.033Z] 05:40:56.272 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-30T05:40:58.711Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-30T05:40:59.437Z] Training: 60056, validation: 20285, test: 19854 [2025-08-30T05:40:59.437Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-30T05:40:59.437Z] GC before operation: completed in 162.875 ms, heap usage 230.431 MB -> 76.443 MB. [2025-08-30T05:41:12.495Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:41:21.195Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:41:28.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:41:37.019Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:41:40.674Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:41:45.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:41:49.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:41:54.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:41:54.568Z] 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. [2025-08-30T05:41:54.897Z] The best model improves the baseline by 14.52%. [2025-08-30T05:41:55.334Z] Top recommended movies for user id 72: [2025-08-30T05:41:55.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:41:55.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:41:55.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:41:55.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:41:55.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:41:55.334Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (55654.692 ms) ====== [2025-08-30T05:41:55.334Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-30T05:41:55.334Z] GC before operation: completed in 130.233 ms, heap usage 520.563 MB -> 93.770 MB. [2025-08-30T05:42:02.435Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:42:09.531Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:42:18.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:42:25.366Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:42:29.044Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:42:32.776Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:42:37.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:42:41.062Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:42:41.745Z] 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. [2025-08-30T05:42:41.745Z] The best model improves the baseline by 14.52%. [2025-08-30T05:42:42.066Z] Top recommended movies for user id 72: [2025-08-30T05:42:42.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:42:42.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:42:42.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:42:42.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:42:42.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:42:42.066Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46775.776 ms) ====== [2025-08-30T05:42:42.066Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-30T05:42:42.066Z] GC before operation: completed in 117.339 ms, heap usage 370.533 MB -> 89.652 MB. [2025-08-30T05:42:49.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:42:56.249Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:43:04.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:43:10.707Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:43:15.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:43:18.997Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:43:23.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:43:27.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:43:27.283Z] 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. [2025-08-30T05:43:27.283Z] The best model improves the baseline by 14.52%. [2025-08-30T05:43:27.628Z] Top recommended movies for user id 72: [2025-08-30T05:43:27.628Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:43:27.628Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:43:27.628Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:43:27.628Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:43:27.628Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:43:27.628Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45596.059 ms) ====== [2025-08-30T05:43:27.628Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-30T05:43:27.982Z] GC before operation: completed in 103.239 ms, heap usage 209.842 MB -> 89.720 MB. [2025-08-30T05:43:35.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:43:42.209Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:43:49.334Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:43:58.011Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:44:00.861Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:44:05.476Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:44:10.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:44:13.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:44:14.417Z] 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. [2025-08-30T05:44:14.417Z] The best model improves the baseline by 14.52%. [2025-08-30T05:44:14.744Z] Top recommended movies for user id 72: [2025-08-30T05:44:14.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:44:14.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:44:14.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:44:14.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:44:14.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:44:14.744Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (46884.854 ms) ====== [2025-08-30T05:44:14.744Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-30T05:44:14.744Z] GC before operation: completed in 108.625 ms, heap usage 118.417 MB -> 89.841 MB. [2025-08-30T05:44:21.843Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:44:28.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:44:37.642Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:44:44.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:44:48.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:44:52.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:44:56.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:45:01.280Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:45:01.280Z] 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. [2025-08-30T05:45:01.280Z] The best model improves the baseline by 14.52%. [2025-08-30T05:45:01.605Z] Top recommended movies for user id 72: [2025-08-30T05:45:01.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:45:01.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:45:01.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:45:01.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:45:01.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:45:01.605Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (46822.739 ms) ====== [2025-08-30T05:45:01.605Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-30T05:45:01.605Z] GC before operation: completed in 98.725 ms, heap usage 118.409 MB -> 89.780 MB. [2025-08-30T05:45:08.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:45:15.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:45:24.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:45:30.277Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:45:33.930Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:45:38.546Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:45:43.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:45:46.793Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:45:47.129Z] 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. [2025-08-30T05:45:47.129Z] The best model improves the baseline by 14.52%. [2025-08-30T05:45:47.485Z] Top recommended movies for user id 72: [2025-08-30T05:45:47.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:45:47.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:45:47.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:45:47.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:45:47.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:45:47.485Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (45575.049 ms) ====== [2025-08-30T05:45:47.485Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-30T05:45:47.485Z] GC before operation: completed in 95.295 ms, heap usage 200.475 MB -> 90.276 MB. [2025-08-30T05:45:54.599Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:46:01.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:46:08.775Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:46:15.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:46:19.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:46:23.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:46:27.816Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:46:32.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:46:32.491Z] 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. [2025-08-30T05:46:32.491Z] The best model improves the baseline by 14.52%. [2025-08-30T05:46:32.491Z] Top recommended movies for user id 72: [2025-08-30T05:46:32.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:46:32.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:46:32.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:46:32.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:46:32.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:46:32.491Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (45150.998 ms) ====== [2025-08-30T05:46:32.491Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-30T05:46:32.825Z] GC before operation: completed in 113.056 ms, heap usage 242.424 MB -> 90.209 MB. [2025-08-30T05:46:39.930Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:46:47.027Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:46:54.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:47:01.183Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:47:04.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:47:09.446Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:47:13.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:47:17.703Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:47:17.703Z] 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. [2025-08-30T05:47:17.703Z] The best model improves the baseline by 14.52%. [2025-08-30T05:47:18.022Z] Top recommended movies for user id 72: [2025-08-30T05:47:18.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:47:18.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:47:18.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:47:18.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:47:18.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:47:18.023Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (45295.478 ms) ====== [2025-08-30T05:47:18.023Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-30T05:47:18.023Z] GC before operation: completed in 116.102 ms, heap usage 117.573 MB -> 90.312 MB. [2025-08-30T05:47:25.109Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:47:32.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:47:39.259Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:47:46.347Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:47:50.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:47:53.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:47:58.385Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:48:02.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:48:02.382Z] 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. [2025-08-30T05:48:02.382Z] The best model improves the baseline by 14.52%. [2025-08-30T05:48:02.707Z] Top recommended movies for user id 72: [2025-08-30T05:48:02.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:48:02.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:48:02.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:48:02.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:48:02.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:48:02.707Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44601.635 ms) ====== [2025-08-30T05:48:02.707Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-30T05:48:02.707Z] GC before operation: completed in 93.326 ms, heap usage 162.208 MB -> 90.288 MB. [2025-08-30T05:48:09.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:48:16.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:48:25.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:48:32.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:48:35.568Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:48:40.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:48:44.820Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:48:48.499Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:48:48.824Z] 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. [2025-08-30T05:48:48.824Z] The best model improves the baseline by 14.52%. [2025-08-30T05:48:49.165Z] Top recommended movies for user id 72: [2025-08-30T05:48:49.165Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:48:49.165Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:48:49.165Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:48:49.165Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:48:49.165Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:48:49.165Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46370.045 ms) ====== [2025-08-30T05:48:49.165Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-30T05:48:49.165Z] GC before operation: completed in 101.005 ms, heap usage 318.205 MB -> 90.616 MB. [2025-08-30T05:48:56.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:49:03.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:49:10.559Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:49:17.656Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:49:21.313Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:49:25.058Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:49:29.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:49:33.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:49:33.370Z] 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. [2025-08-30T05:49:33.370Z] The best model improves the baseline by 14.52%. [2025-08-30T05:49:33.748Z] Top recommended movies for user id 72: [2025-08-30T05:49:33.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:49:33.748Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:49:33.748Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:49:33.748Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:49:33.748Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:49:33.748Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44489.451 ms) ====== [2025-08-30T05:49:33.748Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-30T05:49:33.748Z] GC before operation: completed in 120.221 ms, heap usage 258.656 MB -> 90.266 MB. [2025-08-30T05:49:40.839Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:49:47.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:49:55.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:50:02.112Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:50:05.739Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:50:09.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:50:13.999Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:50:17.659Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:50:17.659Z] 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. [2025-08-30T05:50:17.659Z] The best model improves the baseline by 14.52%. [2025-08-30T05:50:17.984Z] Top recommended movies for user id 72: [2025-08-30T05:50:17.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:50:17.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:50:17.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:50:17.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:50:17.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:50:17.985Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (44074.610 ms) ====== [2025-08-30T05:50:17.985Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-30T05:50:17.985Z] GC before operation: completed in 103.553 ms, heap usage 625.894 MB -> 95.497 MB. [2025-08-30T05:50:25.065Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:50:32.190Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:50:39.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:50:46.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:50:50.111Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:50:54.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:50:58.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:51:03.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:51:03.066Z] 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. [2025-08-30T05:51:03.066Z] The best model improves the baseline by 14.52%. [2025-08-30T05:51:03.066Z] Top recommended movies for user id 72: [2025-08-30T05:51:03.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:51:03.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:51:03.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:51:03.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:51:03.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:51:03.066Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45076.829 ms) ====== [2025-08-30T05:51:03.066Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-30T05:51:03.066Z] GC before operation: completed in 96.481 ms, heap usage 118.239 MB -> 90.489 MB. [2025-08-30T05:51:10.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:51:17.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:51:25.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:51:31.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:51:35.342Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:51:38.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:51:43.616Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:51:47.285Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:51:47.983Z] 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. [2025-08-30T05:51:47.983Z] The best model improves the baseline by 14.52%. [2025-08-30T05:51:48.318Z] Top recommended movies for user id 72: [2025-08-30T05:51:48.318Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:51:48.318Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:51:48.318Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:51:48.318Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:51:48.318Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:51:48.318Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45047.083 ms) ====== [2025-08-30T05:51:48.318Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-30T05:51:48.318Z] GC before operation: completed in 99.617 ms, heap usage 247.764 MB -> 90.491 MB. [2025-08-30T05:51:55.408Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:52:02.511Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:52:09.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:52:16.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:52:20.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:52:23.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:52:28.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:52:31.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:52:32.206Z] 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. [2025-08-30T05:52:32.206Z] The best model improves the baseline by 14.52%. [2025-08-30T05:52:32.206Z] Top recommended movies for user id 72: [2025-08-30T05:52:32.206Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:52:32.206Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:52:32.206Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:52:32.206Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:52:32.206Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:52:32.206Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (43904.739 ms) ====== [2025-08-30T05:52:32.206Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-30T05:52:32.527Z] GC before operation: completed in 106.048 ms, heap usage 834.112 MB -> 94.861 MB. [2025-08-30T05:52:39.598Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:52:46.691Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:52:53.753Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:53:00.836Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:53:04.491Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:53:08.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:53:12.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:53:16.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:53:16.744Z] 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. [2025-08-30T05:53:16.744Z] The best model improves the baseline by 14.52%. [2025-08-30T05:53:17.068Z] Top recommended movies for user id 72: [2025-08-30T05:53:17.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:53:17.068Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:53:17.068Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:53:17.068Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:53:17.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:53:17.068Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (44670.502 ms) ====== [2025-08-30T05:53:17.068Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-30T05:53:17.068Z] GC before operation: completed in 98.417 ms, heap usage 325.315 MB -> 90.591 MB. [2025-08-30T05:53:24.159Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:53:31.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:53:38.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:53:45.416Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:53:49.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:53:52.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:53:57.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:54:01.041Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:54:01.728Z] 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. [2025-08-30T05:54:01.728Z] The best model improves the baseline by 14.52%. [2025-08-30T05:54:02.095Z] Top recommended movies for user id 72: [2025-08-30T05:54:02.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:54:02.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:54:02.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:54:02.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:54:02.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:54:02.095Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (44748.410 ms) ====== [2025-08-30T05:54:02.095Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-30T05:54:02.095Z] GC before operation: completed in 100.991 ms, heap usage 291.695 MB -> 90.668 MB. [2025-08-30T05:54:09.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:54:16.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:54:24.952Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:54:30.715Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:54:34.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:54:38.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:54:42.675Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:54:47.377Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:54:47.377Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T05:54:47.377Z] The best model improves the baseline by 14.52%. [2025-08-30T05:54:47.377Z] Top recommended movies for user id 72: [2025-08-30T05:54:47.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:54:47.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:54:47.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:54:47.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:54:47.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:54:47.377Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45441.913 ms) ====== [2025-08-30T05:54:47.377Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-30T05:54:47.704Z] GC before operation: completed in 103.488 ms, heap usage 206.454 MB -> 93.602 MB. [2025-08-30T05:54:54.776Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:55:01.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:55:08.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:55:16.038Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:55:19.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:55:24.324Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:55:27.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:55:32.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:55:32.633Z] 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. [2025-08-30T05:55:32.633Z] The best model improves the baseline by 14.52%. [2025-08-30T05:55:32.955Z] Top recommended movies for user id 72: [2025-08-30T05:55:32.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:55:32.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:55:32.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:55:32.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:55:32.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:55:32.955Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45433.039 ms) ====== [2025-08-30T05:55:32.955Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-30T05:55:32.955Z] GC before operation: completed in 100.026 ms, heap usage 214.091 MB -> 90.488 MB. [2025-08-30T05:55:40.048Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:55:47.149Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:55:54.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:56:01.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:56:04.992Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:56:08.659Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:56:13.271Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:56:17.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:56:17.393Z] 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. [2025-08-30T05:56:17.393Z] The best model improves the baseline by 14.52%. [2025-08-30T05:56:17.716Z] Top recommended movies for user id 72: [2025-08-30T05:56:17.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:56:17.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:56:17.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:56:17.716Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:56:17.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:56:17.716Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44604.206 ms) ====== [2025-08-30T05:56:18.397Z] ----------------------------------- [2025-08-30T05:56:18.397Z] renaissance-movie-lens_0_PASSED [2025-08-30T05:56:18.397Z] ----------------------------------- [2025-08-30T05:56:19.073Z] [2025-08-30T05:56:19.073Z] TEST TEARDOWN: [2025-08-30T05:56:19.073Z] Nothing to be done for teardown. [2025-08-30T05:56:19.073Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 05:56:18 2025 Epoch Time (ms): 1756533378914