[2025-06-29T20:56:33.810Z] Running test renaissance-movie-lens_0 ... [2025-06-29T20:56:33.810Z] =============================================== [2025-06-29T20:56:33.810Z] renaissance-movie-lens_0 Start Time: Sun Jun 29 20:56:33 2025 Epoch Time (ms): 1751230593074 [2025-06-29T20:56:33.810Z] variation: NoOptions [2025-06-29T20:56:33.810Z] JVM_OPTIONS: [2025-06-29T20:56:33.810Z] { \ [2025-06-29T20:56:33.810Z] echo ""; echo "TEST SETUP:"; \ [2025-06-29T20:56:33.810Z] echo "Nothing to be done for setup."; \ [2025-06-29T20:56:33.810Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17512288159405/renaissance-movie-lens_0"; \ [2025-06-29T20:56:33.810Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17512288159405/renaissance-movie-lens_0"; \ [2025-06-29T20:56:33.810Z] echo ""; echo "TESTING:"; \ [2025-06-29T20:56:33.810Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17512288159405/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-29T20:56:33.810Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17512288159405/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-29T20:56:33.810Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-29T20:56:33.810Z] echo "Nothing to be done for teardown."; \ [2025-06-29T20:56:33.811Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17512288159405/TestTargetResult"; [2025-06-29T20:56:33.811Z] [2025-06-29T20:56:33.811Z] TEST SETUP: [2025-06-29T20:56:33.811Z] Nothing to be done for setup. [2025-06-29T20:56:33.811Z] [2025-06-29T20:56:33.811Z] TESTING: [2025-06-29T20:57:15.348Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2025-06-29T20:57:50.620Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-29T20:57:50.620Z] Training: 60056, validation: 20285, test: 19854 [2025-06-29T20:57:50.620Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-29T20:57:50.620Z] GC before operation: completed in 148.823 ms, heap usage 667.028 MB -> 75.627 MB. [2025-06-29T20:57:53.100Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T20:57:57.615Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T20:58:11.404Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T20:58:13.907Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T20:58:19.548Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T20:58:23.014Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T20:58:35.144Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T20:58:38.596Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T20:58:38.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T20:58:38.597Z] The best model improves the baseline by 14.43%. [2025-06-29T20:58:39.370Z] Top recommended movies for user id 72: [2025-06-29T20:58:39.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T20:58:39.370Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T20:58:39.370Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T20:58:39.370Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T20:58:39.370Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T20:58:39.370Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (51336.660 ms) ====== [2025-06-29T20:58:39.370Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-29T20:58:39.370Z] GC before operation: completed in 151.829 ms, heap usage 173.862 MB -> 89.375 MB. [2025-06-29T20:58:42.823Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T20:58:49.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T20:58:55.394Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T20:58:58.828Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T20:59:01.361Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T20:59:02.956Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T20:59:05.445Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T20:59:07.037Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T20:59:07.811Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T20:59:07.811Z] The best model improves the baseline by 14.43%. [2025-06-29T20:59:07.811Z] Top recommended movies for user id 72: [2025-06-29T20:59:07.811Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T20:59:07.811Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T20:59:07.811Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T20:59:07.811Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T20:59:07.811Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T20:59:07.811Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28689.630 ms) ====== [2025-06-29T20:59:07.811Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-29T20:59:07.811Z] GC before operation: completed in 135.926 ms, heap usage 1.041 GB -> 93.953 MB. [2025-06-29T20:59:11.269Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T20:59:14.720Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T20:59:18.154Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T20:59:21.595Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T20:59:24.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T20:59:25.690Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T20:59:28.179Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T20:59:29.775Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T20:59:30.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T20:59:30.548Z] The best model improves the baseline by 14.43%. [2025-06-29T20:59:30.548Z] Top recommended movies for user id 72: [2025-06-29T20:59:30.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T20:59:30.548Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T20:59:30.548Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T20:59:30.548Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T20:59:30.548Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T20:59:30.548Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22586.758 ms) ====== [2025-06-29T20:59:30.548Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-29T20:59:30.548Z] GC before operation: completed in 129.463 ms, heap usage 147.487 MB -> 90.191 MB. [2025-06-29T20:59:33.979Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T20:59:37.790Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:00:19.150Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:00:19.150Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:00:20.746Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:00:22.350Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:00:24.837Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:00:27.325Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:00:27.325Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:00:27.325Z] The best model improves the baseline by 14.43%. [2025-06-29T21:00:28.101Z] Top recommended movies for user id 72: [2025-06-29T21:00:28.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:00:28.101Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:00:28.101Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:00:28.101Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:00:28.101Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:00:28.101Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (57117.853 ms) ====== [2025-06-29T21:00:28.101Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-29T21:00:28.101Z] GC before operation: completed in 130.507 ms, heap usage 132.494 MB -> 90.657 MB. [2025-06-29T21:00:31.539Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:00:34.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:00:39.672Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:00:42.154Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:00:44.639Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:00:46.240Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:00:48.733Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:00:50.334Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:00:50.334Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:00:50.334Z] The best model improves the baseline by 14.43%. [2025-06-29T21:00:51.106Z] Top recommended movies for user id 72: [2025-06-29T21:00:51.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:00:51.106Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:00:51.106Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:00:51.106Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:00:51.106Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:00:51.106Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22857.038 ms) ====== [2025-06-29T21:00:51.106Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-29T21:00:51.106Z] GC before operation: completed in 136.812 ms, heap usage 1.089 GB -> 94.996 MB. [2025-06-29T21:00:54.549Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:00:57.036Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:01:01.511Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:01:04.951Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:01:06.561Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:01:08.157Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:01:10.635Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:01:13.160Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:01:13.160Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:01:13.160Z] The best model improves the baseline by 14.43%. [2025-06-29T21:01:13.160Z] Top recommended movies for user id 72: [2025-06-29T21:01:13.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:01:13.160Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:01:13.160Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:01:13.160Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:01:13.160Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:01:13.160Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22328.879 ms) ====== [2025-06-29T21:01:13.160Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-29T21:01:13.160Z] GC before operation: completed in 146.472 ms, heap usage 367.569 MB -> 91.150 MB. [2025-06-29T21:01:16.621Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:01:23.510Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:01:31.846Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:01:34.348Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:01:36.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:01:38.447Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:01:41.878Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:01:43.475Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:01:43.475Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:01:44.252Z] The best model improves the baseline by 14.43%. [2025-06-29T21:01:44.252Z] Top recommended movies for user id 72: [2025-06-29T21:01:44.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:01:44.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:01:44.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:01:44.252Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:01:44.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:01:44.252Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (30667.868 ms) ====== [2025-06-29T21:01:44.252Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-29T21:01:44.252Z] GC before operation: completed in 134.131 ms, heap usage 149.751 MB -> 90.779 MB. [2025-06-29T21:01:47.698Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:01:53.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:02:01.930Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:02:05.373Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:02:07.869Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:02:09.464Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:02:17.759Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:02:20.265Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:02:20.265Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:02:20.265Z] The best model improves the baseline by 14.43%. [2025-06-29T21:02:21.038Z] Top recommended movies for user id 72: [2025-06-29T21:02:21.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:02:21.038Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:02:21.038Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:02:21.038Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:02:21.038Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:02:21.038Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (36458.602 ms) ====== [2025-06-29T21:02:21.038Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-29T21:02:21.038Z] GC before operation: completed in 130.780 ms, heap usage 172.184 MB -> 91.230 MB. [2025-06-29T21:02:24.482Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:02:27.919Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:02:34.856Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:02:37.335Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:02:38.935Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:02:41.425Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:02:43.031Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:02:45.512Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:02:45.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:02:45.512Z] The best model improves the baseline by 14.43%. [2025-06-29T21:02:46.285Z] Top recommended movies for user id 72: [2025-06-29T21:02:46.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:02:46.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:02:46.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:02:46.285Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:02:46.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:02:46.285Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (25087.940 ms) ====== [2025-06-29T21:02:46.285Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-29T21:02:46.285Z] GC before operation: completed in 123.659 ms, heap usage 104.253 MB -> 90.831 MB. [2025-06-29T21:02:48.777Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:02:52.229Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:02:55.667Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:02:59.106Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:03:00.714Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:03:02.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:03:04.800Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:03:06.405Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:03:06.405Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:03:07.178Z] The best model improves the baseline by 14.43%. [2025-06-29T21:03:07.178Z] Top recommended movies for user id 72: [2025-06-29T21:03:07.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:03:07.178Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:03:07.178Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:03:07.178Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:03:07.178Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:03:07.178Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20975.407 ms) ====== [2025-06-29T21:03:07.178Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-29T21:03:07.178Z] GC before operation: completed in 151.182 ms, heap usage 161.564 MB -> 91.409 MB. [2025-06-29T21:03:10.804Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:03:13.297Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:03:16.748Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:03:20.187Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:03:21.785Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:03:24.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:03:26.747Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:03:28.361Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:03:28.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:03:28.361Z] The best model improves the baseline by 14.43%. [2025-06-29T21:03:28.361Z] Top recommended movies for user id 72: [2025-06-29T21:03:28.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:03:28.361Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:03:28.361Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:03:28.361Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:03:28.361Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:03:28.361Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21430.901 ms) ====== [2025-06-29T21:03:28.361Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-29T21:03:28.361Z] GC before operation: completed in 148.106 ms, heap usage 228.134 MB -> 91.036 MB. [2025-06-29T21:03:31.804Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:03:35.243Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:03:38.687Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:03:41.178Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:03:43.687Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:03:45.287Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:03:46.882Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:03:48.487Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:03:49.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:03:49.262Z] The best model improves the baseline by 14.43%. [2025-06-29T21:03:49.262Z] Top recommended movies for user id 72: [2025-06-29T21:03:49.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:03:49.262Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:03:49.262Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:03:49.263Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:03:49.263Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:03:49.263Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20430.245 ms) ====== [2025-06-29T21:03:49.263Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-29T21:03:49.263Z] GC before operation: completed in 129.335 ms, heap usage 1.028 GB -> 95.436 MB. [2025-06-29T21:03:52.736Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:03:55.227Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:03:59.698Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:04:03.137Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:04:04.743Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:04:06.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:04:08.835Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:04:10.456Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:04:11.233Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:04:11.233Z] The best model improves the baseline by 14.43%. [2025-06-29T21:04:11.233Z] Top recommended movies for user id 72: [2025-06-29T21:04:11.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:04:11.233Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:04:11.234Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:04:11.234Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:04:11.234Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:04:11.234Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21768.094 ms) ====== [2025-06-29T21:04:11.234Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-29T21:04:11.234Z] GC before operation: completed in 130.752 ms, heap usage 1.097 GB -> 95.780 MB. [2025-06-29T21:04:14.729Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:04:17.229Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:04:21.705Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:04:25.143Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:04:26.757Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:04:28.370Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:04:30.850Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:04:33.342Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:04:33.342Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:04:33.342Z] The best model improves the baseline by 14.43%. [2025-06-29T21:04:33.342Z] Top recommended movies for user id 72: [2025-06-29T21:04:33.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:04:33.342Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:04:33.342Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:04:33.342Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:04:33.342Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:04:33.342Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22282.386 ms) ====== [2025-06-29T21:04:33.342Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-29T21:04:33.342Z] GC before operation: completed in 131.022 ms, heap usage 377.618 MB -> 91.237 MB. [2025-06-29T21:04:36.770Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:04:40.205Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:04:44.690Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:04:47.165Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:04:48.768Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:04:51.254Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:04:53.736Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:04:55.352Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:04:55.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:04:55.352Z] The best model improves the baseline by 14.43%. [2025-06-29T21:04:55.352Z] Top recommended movies for user id 72: [2025-06-29T21:04:55.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:04:55.352Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:04:55.352Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:04:55.352Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:04:55.352Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:04:55.352Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21928.827 ms) ====== [2025-06-29T21:04:55.352Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-29T21:04:55.352Z] GC before operation: completed in 126.922 ms, heap usage 301.029 MB -> 91.416 MB. [2025-06-29T21:04:58.807Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:05:02.271Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:05:05.728Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:05:08.234Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:05:10.735Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:05:12.689Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:05:14.296Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:05:15.889Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:05:16.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:05:16.662Z] The best model improves the baseline by 14.43%. [2025-06-29T21:05:16.662Z] Top recommended movies for user id 72: [2025-06-29T21:05:16.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:05:16.662Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:05:16.662Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:05:16.662Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:05:16.662Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:05:16.662Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20994.415 ms) ====== [2025-06-29T21:05:16.662Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-29T21:05:16.662Z] GC before operation: completed in 119.768 ms, heap usage 130.878 MB -> 91.187 MB. [2025-06-29T21:05:20.101Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:05:23.540Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:05:26.981Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:05:30.428Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:05:32.030Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:05:33.640Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:05:36.121Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:05:37.720Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:05:38.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:05:38.506Z] The best model improves the baseline by 14.43%. [2025-06-29T21:05:38.506Z] Top recommended movies for user id 72: [2025-06-29T21:05:38.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:05:38.506Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:05:38.506Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:05:38.506Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:05:38.506Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:05:38.506Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21768.692 ms) ====== [2025-06-29T21:05:38.506Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-29T21:05:38.506Z] GC before operation: completed in 131.433 ms, heap usage 372.303 MB -> 91.403 MB. [2025-06-29T21:05:41.947Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:05:44.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:05:48.942Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:05:51.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:05:53.936Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:05:55.536Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:05:58.022Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:05:59.621Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:05:59.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:05:59.621Z] The best model improves the baseline by 14.43%. [2025-06-29T21:06:00.394Z] Top recommended movies for user id 72: [2025-06-29T21:06:00.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:06:00.394Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:06:00.394Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:06:00.394Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:06:00.394Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:06:00.394Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21353.358 ms) ====== [2025-06-29T21:06:00.394Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-29T21:06:00.394Z] GC before operation: completed in 116.289 ms, heap usage 382.789 MB -> 91.467 MB. [2025-06-29T21:06:02.903Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:06:06.351Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:06:09.788Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:06:13.249Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:06:14.862Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:06:16.456Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:06:18.931Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:06:21.417Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:06:21.417Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:06:21.417Z] The best model improves the baseline by 14.43%. [2025-06-29T21:06:21.417Z] Top recommended movies for user id 72: [2025-06-29T21:06:21.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:06:21.417Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:06:21.417Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:06:21.417Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:06:21.417Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:06:21.417Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21407.486 ms) ====== [2025-06-29T21:06:21.417Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-29T21:06:21.417Z] GC before operation: completed in 126.567 ms, heap usage 317.704 MB -> 91.598 MB. [2025-06-29T21:06:24.857Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T21:06:28.290Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T21:06:31.729Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T21:06:35.179Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T21:06:36.792Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T21:06:38.403Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T21:06:40.889Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T21:06:43.367Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T21:06:43.367Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-29T21:06:43.367Z] The best model improves the baseline by 14.43%. [2025-06-29T21:06:43.367Z] Top recommended movies for user id 72: [2025-06-29T21:06:43.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-29T21:06:43.367Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-29T21:06:43.367Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-29T21:06:43.367Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-29T21:06:43.367Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-29T21:06:43.367Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21986.250 ms) ====== [2025-06-29T21:06:44.139Z] ----------------------------------- [2025-06-29T21:06:44.139Z] renaissance-movie-lens_0_PASSED [2025-06-29T21:06:44.139Z] ----------------------------------- [2025-06-29T21:06:44.139Z] [2025-06-29T21:06:44.139Z] TEST TEARDOWN: [2025-06-29T21:06:44.139Z] Nothing to be done for teardown. [2025-06-29T21:06:44.139Z] renaissance-movie-lens_0 Finish Time: Sun Jun 29 21:06:43 2025 Epoch Time (ms): 1751231203790