[2025-11-05T23:29:18.047Z] Running test renaissance-movie-lens_0 ... [2025-11-05T23:29:18.047Z] =============================================== [2025-11-05T23:29:18.408Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 23:29:18 2025 Epoch Time (ms): 1762385358093 [2025-11-05T23:29:18.408Z] variation: NoOptions [2025-11-05T23:29:18.408Z] JVM_OPTIONS: [2025-11-05T23:29:18.408Z] { \ [2025-11-05T23:29:18.408Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T23:29:18.408Z] echo "Nothing to be done for setup."; \ [2025-11-05T23:29:18.408Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17623836678970\\renaissance-movie-lens_0"; \ [2025-11-05T23:29:18.408Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17623836678970\\renaissance-movie-lens_0"; \ [2025-11-05T23:29:18.408Z] echo ""; echo "TESTING:"; \ [2025-11-05T23:29:18.408Z] "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_17623836678970\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-11-05T23:29:18.408Z] 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_17623836678970\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T23:29:18.408Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T23:29:18.408Z] echo "Nothing to be done for teardown."; \ [2025-11-05T23:29:18.408Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17623836678970\\TestTargetResult"; [2025-11-05T23:29:18.408Z] [2025-11-05T23:29:18.408Z] TEST SETUP: [2025-11-05T23:29:18.408Z] Nothing to be done for setup. [2025-11-05T23:29:18.408Z] [2025-11-05T23:29:18.408Z] TESTING: [2025-11-05T23:29:34.493Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-05T23:29:39.735Z] 23:29:38.994 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. [2025-11-05T23:29:41.679Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T23:29:42.096Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T23:29:42.096Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T23:29:42.476Z] GC before operation: completed in 135.836 ms, heap usage 409.106 MB -> 76.396 MB. [2025-11-05T23:29:56.026Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:30:05.358Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:30:14.455Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:30:23.545Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:30:28.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:30:33.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:30:38.310Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:30:43.185Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:30:43.562Z] 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. [2025-11-05T23:30:44.008Z] The best model improves the baseline by 14.52%. [2025-11-05T23:30:44.369Z] Top recommended movies for user id 72: [2025-11-05T23:30:44.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:30:44.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:30:44.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:30:44.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:30:44.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:30:44.369Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (61831.408 ms) ====== [2025-11-05T23:30:44.369Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T23:30:44.369Z] GC before operation: completed in 144.767 ms, heap usage 544.761 MB -> 99.543 MB. [2025-11-05T23:30:53.502Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:31:02.557Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:31:11.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:31:19.190Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:31:23.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:31:28.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:31:32.928Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:31:37.791Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:31:38.158Z] 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. [2025-11-05T23:31:38.158Z] The best model improves the baseline by 14.52%. [2025-11-05T23:31:38.525Z] Top recommended movies for user id 72: [2025-11-05T23:31:38.525Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:31:38.525Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:31:38.525Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:31:38.525Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:31:38.525Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:31:38.525Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (54287.601 ms) ====== [2025-11-05T23:31:38.525Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T23:31:38.525Z] GC before operation: completed in 124.109 ms, heap usage 96.753 MB -> 89.084 MB. [2025-11-05T23:31:47.590Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:31:55.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:32:04.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:32:11.499Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:32:16.377Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:32:20.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:32:26.342Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:32:30.226Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:32:30.594Z] 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. [2025-11-05T23:32:30.594Z] The best model improves the baseline by 14.52%. [2025-11-05T23:32:30.954Z] Top recommended movies for user id 72: [2025-11-05T23:32:30.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:32:30.954Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:32:30.954Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:32:30.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:32:30.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:32:30.955Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (52310.265 ms) ====== [2025-11-05T23:32:30.955Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T23:32:30.955Z] GC before operation: completed in 105.246 ms, heap usage 177.130 MB -> 89.768 MB. [2025-11-05T23:32:39.981Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:32:47.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:32:56.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:33:03.925Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:33:08.787Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:33:12.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:33:18.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:33:22.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:33:22.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-05T23:33:22.642Z] The best model improves the baseline by 14.52%. [2025-11-05T23:33:23.045Z] Top recommended movies for user id 72: [2025-11-05T23:33:23.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:33:23.045Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:33:23.045Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:33:23.045Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:33:23.045Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:33:23.045Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (51994.519 ms) ====== [2025-11-05T23:33:23.045Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T23:33:23.388Z] GC before operation: completed in 116.568 ms, heap usage 243.133 MB -> 90.076 MB. [2025-11-05T23:33:32.431Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:33:41.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:33:50.584Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:33:57.993Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:34:02.885Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:34:07.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:34:13.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:34:18.681Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:34:19.447Z] 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. [2025-11-05T23:34:19.447Z] The best model improves the baseline by 14.52%. [2025-11-05T23:34:19.800Z] Top recommended movies for user id 72: [2025-11-05T23:34:19.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:34:19.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:34:19.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:34:19.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:34:19.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:34:19.800Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (56475.476 ms) ====== [2025-11-05T23:34:19.800Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T23:34:19.800Z] GC before operation: completed in 107.084 ms, heap usage 118.295 MB -> 89.934 MB. [2025-11-05T23:34:30.822Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:34:38.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:34:47.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:34:56.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:35:00.270Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:35:05.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:35:11.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:35:15.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:35:15.080Z] 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. [2025-11-05T23:35:15.080Z] The best model improves the baseline by 14.52%. [2025-11-05T23:35:15.438Z] Top recommended movies for user id 72: [2025-11-05T23:35:15.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:35:15.438Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:35:15.438Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:35:15.438Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:35:15.438Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:35:15.438Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (55674.360 ms) ====== [2025-11-05T23:35:15.438Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T23:35:15.438Z] GC before operation: completed in 103.643 ms, heap usage 174.816 MB -> 90.362 MB. [2025-11-05T23:35:22.943Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:35:31.971Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:35:39.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:35:48.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:35:52.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:35:56.271Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:36:01.129Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:36:05.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:36:05.760Z] 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. [2025-11-05T23:36:05.760Z] The best model improves the baseline by 14.52%. [2025-11-05T23:36:06.139Z] Top recommended movies for user id 72: [2025-11-05T23:36:06.139Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:36:06.139Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:36:06.139Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:36:06.139Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:36:06.139Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:36:06.139Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50541.696 ms) ====== [2025-11-05T23:36:06.139Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T23:36:06.139Z] GC before operation: completed in 113.348 ms, heap usage 283.098 MB -> 90.413 MB. [2025-11-05T23:36:15.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:36:22.655Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:36:31.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:36:39.189Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:36:43.071Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:36:47.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:36:52.907Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:36:57.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:36:57.816Z] 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. [2025-11-05T23:36:57.816Z] The best model improves the baseline by 14.52%. [2025-11-05T23:36:58.174Z] Top recommended movies for user id 72: [2025-11-05T23:36:58.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:36:58.174Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:36:58.174Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:36:58.174Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:36:58.174Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:36:58.174Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51889.676 ms) ====== [2025-11-05T23:36:58.174Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T23:36:58.174Z] GC before operation: completed in 108.238 ms, heap usage 118.446 MB -> 90.391 MB. [2025-11-05T23:37:05.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:37:14.625Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:37:22.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:37:31.125Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:37:34.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:37:39.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:37:43.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:37:48.828Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:37:48.828Z] 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. [2025-11-05T23:37:48.828Z] The best model improves the baseline by 14.52%. [2025-11-05T23:37:49.183Z] Top recommended movies for user id 72: [2025-11-05T23:37:49.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:37:49.183Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:37:49.183Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:37:49.183Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:37:49.183Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:37:49.183Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (50848.970 ms) ====== [2025-11-05T23:37:49.183Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T23:37:49.183Z] GC before operation: completed in 104.688 ms, heap usage 176.628 MB -> 90.418 MB. [2025-11-05T23:37:56.635Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:38:05.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:38:14.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:38:22.153Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:38:25.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:38:30.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:38:35.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:38:39.911Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:38:39.911Z] 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. [2025-11-05T23:38:39.911Z] The best model improves the baseline by 14.52%. [2025-11-05T23:38:40.304Z] Top recommended movies for user id 72: [2025-11-05T23:38:40.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:38:40.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:38:40.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:38:40.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:38:40.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:38:40.304Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (51176.561 ms) ====== [2025-11-05T23:38:40.304Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T23:38:40.304Z] GC before operation: completed in 107.186 ms, heap usage 175.067 MB -> 90.574 MB. [2025-11-05T23:38:49.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:38:56.835Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:39:04.252Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:39:11.680Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:39:16.867Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:39:21.764Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:39:26.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:39:30.636Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:39:31.442Z] 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. [2025-11-05T23:39:31.442Z] The best model improves the baseline by 14.52%. [2025-11-05T23:39:31.442Z] Top recommended movies for user id 72: [2025-11-05T23:39:31.442Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:39:31.442Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:39:31.442Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:39:31.442Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:39:31.442Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:39:31.442Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51057.104 ms) ====== [2025-11-05T23:39:31.442Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T23:39:31.803Z] GC before operation: completed in 110.087 ms, heap usage 236.256 MB -> 90.323 MB. [2025-11-05T23:39:39.230Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:39:48.299Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:39:55.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:40:03.135Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:40:08.026Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:40:12.923Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:40:17.776Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:40:21.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:40:22.077Z] 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. [2025-11-05T23:40:22.077Z] The best model improves the baseline by 14.52%. [2025-11-05T23:40:22.477Z] Top recommended movies for user id 72: [2025-11-05T23:40:22.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:40:22.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:40:22.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:40:22.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:40:22.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:40:22.477Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50909.409 ms) ====== [2025-11-05T23:40:22.477Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T23:40:22.835Z] GC before operation: completed in 104.571 ms, heap usage 176.262 MB -> 90.536 MB. [2025-11-05T23:40:30.271Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:40:39.346Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:40:46.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:40:54.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:40:59.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:41:02.958Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:41:09.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:41:12.942Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:41:13.316Z] 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. [2025-11-05T23:41:13.316Z] The best model improves the baseline by 14.52%. [2025-11-05T23:41:13.676Z] Top recommended movies for user id 72: [2025-11-05T23:41:13.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:41:13.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:41:13.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:41:13.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:41:13.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:41:13.676Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (51008.980 ms) ====== [2025-11-05T23:41:13.676Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T23:41:13.676Z] GC before operation: completed in 105.513 ms, heap usage 118.881 MB -> 90.599 MB. [2025-11-05T23:41:22.726Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:41:30.131Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:41:37.609Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:41:46.732Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:41:50.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:41:54.533Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:41:59.477Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:42:04.363Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:42:04.363Z] 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. [2025-11-05T23:42:04.363Z] The best model improves the baseline by 14.52%. [2025-11-05T23:42:04.715Z] Top recommended movies for user id 72: [2025-11-05T23:42:04.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:42:04.715Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:42:04.715Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:42:04.715Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:42:04.715Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:42:04.715Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (50859.134 ms) ====== [2025-11-05T23:42:04.715Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T23:42:04.715Z] GC before operation: completed in 108.407 ms, heap usage 313.477 MB -> 90.607 MB. [2025-11-05T23:42:13.793Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:42:21.200Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:42:28.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:42:37.653Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:42:40.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:42:45.602Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:42:50.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:42:54.387Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:42:55.154Z] 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. [2025-11-05T23:42:55.154Z] The best model improves the baseline by 14.52%. [2025-11-05T23:42:55.553Z] Top recommended movies for user id 72: [2025-11-05T23:42:55.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:42:55.553Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:42:55.553Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:42:55.553Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:42:55.553Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:42:55.553Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50620.492 ms) ====== [2025-11-05T23:42:55.553Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T23:42:55.553Z] GC before operation: completed in 108.306 ms, heap usage 310.564 MB -> 90.836 MB. [2025-11-05T23:43:03.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:43:10.658Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:43:19.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:43:28.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:43:32.688Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:43:37.553Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:43:42.429Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:43:46.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:43:47.087Z] 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. [2025-11-05T23:43:47.087Z] The best model improves the baseline by 14.52%. [2025-11-05T23:43:47.439Z] Top recommended movies for user id 72: [2025-11-05T23:43:47.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:43:47.439Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:43:47.439Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:43:47.439Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:43:47.439Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:43:47.439Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (51893.635 ms) ====== [2025-11-05T23:43:47.439Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T23:43:47.439Z] GC before operation: completed in 104.873 ms, heap usage 177.002 MB -> 90.544 MB. [2025-11-05T23:43:54.863Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:44:03.881Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:44:11.301Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:44:20.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:44:24.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:44:28.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:44:33.056Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:44:36.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:44:37.674Z] 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. [2025-11-05T23:44:37.674Z] The best model improves the baseline by 14.52%. [2025-11-05T23:44:38.035Z] Top recommended movies for user id 72: [2025-11-05T23:44:38.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:44:38.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:44:38.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:44:38.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:44:38.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:44:38.035Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50500.352 ms) ====== [2025-11-05T23:44:38.035Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T23:44:38.035Z] GC before operation: completed in 104.666 ms, heap usage 366.783 MB -> 90.874 MB. [2025-11-05T23:44:47.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:44:54.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:45:03.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:45:09.632Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:45:14.510Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:45:18.402Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:45:24.495Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:45:28.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:45:28.794Z] 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. [2025-11-05T23:45:29.163Z] The best model improves the baseline by 14.52%. [2025-11-05T23:45:29.163Z] Top recommended movies for user id 72: [2025-11-05T23:45:29.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:45:29.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:45:29.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:45:29.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:45:29.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:45:29.163Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51137.772 ms) ====== [2025-11-05T23:45:29.163Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T23:45:29.163Z] GC before operation: completed in 108.546 ms, heap usage 318.139 MB -> 90.594 MB. [2025-11-05T23:45:36.596Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:45:45.688Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:45:53.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:46:00.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:46:05.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:46:10.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:46:15.400Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:46:19.294Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:46:19.653Z] 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. [2025-11-05T23:46:19.653Z] The best model improves the baseline by 14.52%. [2025-11-05T23:46:20.012Z] Top recommended movies for user id 72: [2025-11-05T23:46:20.012Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:46:20.012Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:46:20.012Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:46:20.012Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:46:20.012Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:46:20.012Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (50697.641 ms) ====== [2025-11-05T23:46:20.012Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T23:46:20.012Z] GC before operation: completed in 105.704 ms, heap usage 117.999 MB -> 90.514 MB. [2025-11-05T23:46:27.414Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:46:36.458Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:46:45.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:46:52.938Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:46:56.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:47:00.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:47:05.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:47:10.612Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:47:10.612Z] 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. [2025-11-05T23:47:10.612Z] The best model improves the baseline by 14.52%. [2025-11-05T23:47:10.964Z] Top recommended movies for user id 72: [2025-11-05T23:47:10.964Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-05T23:47:10.964Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-05T23:47:10.964Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-05T23:47:10.964Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-05T23:47:10.964Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-05T23:47:10.964Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (50816.552 ms) ====== [2025-11-05T23:47:11.321Z] ----------------------------------- [2025-11-05T23:47:11.321Z] renaissance-movie-lens_0_PASSED [2025-11-05T23:47:11.321Z] ----------------------------------- [2025-11-05T23:47:12.080Z] [2025-11-05T23:47:12.080Z] TEST TEARDOWN: [2025-11-05T23:47:12.080Z] Nothing to be done for teardown. [2025-11-05T23:47:12.437Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 23:47:12 2025 Epoch Time (ms): 1762386432398