[2025-05-21T21:26:27.699Z] Running test renaissance-movie-lens_0 ... [2025-05-21T21:26:27.699Z] =============================================== [2025-05-21T21:26:27.699Z] renaissance-movie-lens_0 Start Time: Wed May 21 16:26:26 2025 Epoch Time (ms): 1747862786217 [2025-05-21T21:26:27.699Z] variation: NoOptions [2025-05-21T21:26:27.699Z] JVM_OPTIONS: [2025-05-21T21:26:27.699Z] { \ [2025-05-21T21:26:27.699Z] echo ""; echo "TEST SETUP:"; \ [2025-05-21T21:26:27.699Z] echo "Nothing to be done for setup."; \ [2025-05-21T21:26:27.699Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17478616752310/renaissance-movie-lens_0"; \ [2025-05-21T21:26:27.699Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17478616752310/renaissance-movie-lens_0"; \ [2025-05-21T21:26:27.699Z] echo ""; echo "TESTING:"; \ [2025-05-21T21:26:27.699Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17478616752310/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-21T21:26:27.699Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17478616752310/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-21T21:26:27.699Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-21T21:26:27.699Z] echo "Nothing to be done for teardown."; \ [2025-05-21T21:26:27.699Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17478616752310/TestTargetResult"; [2025-05-21T21:26:27.699Z] [2025-05-21T21:26:27.699Z] TEST SETUP: [2025-05-21T21:26:27.700Z] Nothing to be done for setup. [2025-05-21T21:26:27.700Z] [2025-05-21T21:26:27.700Z] TESTING: [2025-05-21T21:26:33.960Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-05-21T21:26:43.072Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-21T21:26:43.849Z] Training: 60056, validation: 20285, test: 19854 [2025-05-21T21:26:43.849Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-21T21:26:43.849Z] GC before operation: completed in 123.223 ms, heap usage 353.426 MB -> 76.481 MB. [2025-05-21T21:26:51.434Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:26:55.471Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:26:58.549Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:27:00.758Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:27:02.968Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:27:05.190Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:27:06.605Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:27:08.818Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:27:09.502Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:27:09.502Z] The best model improves the baseline by 14.43%. [2025-05-21T21:27:09.502Z] Top recommended movies for user id 72: [2025-05-21T21:27:09.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:27:09.502Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:27:09.502Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:27:09.502Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:27:09.502Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:27:09.502Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25769.801 ms) ====== [2025-05-21T21:27:09.502Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-21T21:27:09.502Z] GC before operation: completed in 127.082 ms, heap usage 120.712 MB -> 92.684 MB. [2025-05-21T21:27:14.580Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:27:17.655Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:27:20.731Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:27:24.756Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:27:26.171Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:27:28.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:27:30.597Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:27:32.013Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:27:32.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:27:32.715Z] The best model improves the baseline by 14.43%. [2025-05-21T21:27:32.715Z] Top recommended movies for user id 72: [2025-05-21T21:27:32.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:27:32.715Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:27:32.715Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:27:32.715Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:27:32.715Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:27:32.715Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22925.170 ms) ====== [2025-05-21T21:27:32.715Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-21T21:27:32.715Z] GC before operation: completed in 88.923 ms, heap usage 156.803 MB -> 91.772 MB. [2025-05-21T21:27:36.744Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:27:39.824Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:27:42.035Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:27:45.121Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:27:47.331Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:27:49.623Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:27:51.040Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:27:52.455Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:27:53.151Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:27:53.151Z] The best model improves the baseline by 14.43%. [2025-05-21T21:27:53.151Z] Top recommended movies for user id 72: [2025-05-21T21:27:53.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:27:53.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:27:53.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:27:53.151Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:27:53.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:27:53.151Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20339.723 ms) ====== [2025-05-21T21:27:53.151Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-21T21:27:53.151Z] GC before operation: completed in 101.979 ms, heap usage 808.557 MB -> 96.664 MB. [2025-05-21T21:27:56.226Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:28:00.586Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:28:01.702Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:28:04.789Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:28:07.000Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:28:08.423Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:28:10.635Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:28:12.843Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:28:12.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:28:12.843Z] The best model improves the baseline by 14.43%. [2025-05-21T21:28:12.843Z] Top recommended movies for user id 72: [2025-05-21T21:28:12.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:28:12.843Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:28:12.843Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:28:12.843Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:28:12.843Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:28:12.843Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19913.580 ms) ====== [2025-05-21T21:28:12.843Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-21T21:28:13.526Z] GC before operation: completed in 93.061 ms, heap usage 271.864 MB -> 91.803 MB. [2025-05-21T21:28:16.601Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:28:19.671Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:28:22.743Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:28:24.952Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:28:27.158Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:28:28.605Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:28:30.020Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:28:31.429Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:28:31.429Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:28:31.429Z] The best model improves the baseline by 14.43%. [2025-05-21T21:28:32.112Z] Top recommended movies for user id 72: [2025-05-21T21:28:32.112Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:28:32.112Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:28:32.112Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:28:32.112Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:28:32.112Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:28:32.112Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18586.767 ms) ====== [2025-05-21T21:28:32.112Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-21T21:28:32.112Z] GC before operation: completed in 121.434 ms, heap usage 658.391 MB -> 95.380 MB. [2025-05-21T21:28:36.172Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:28:38.422Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:28:41.493Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:28:44.564Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:28:46.772Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:28:48.981Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:28:50.403Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:28:51.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:28:52.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:28:52.503Z] The best model improves the baseline by 14.43%. [2025-05-21T21:28:52.503Z] Top recommended movies for user id 72: [2025-05-21T21:28:52.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:28:52.503Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:28:52.503Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:28:52.503Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:28:52.503Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:28:52.503Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20649.231 ms) ====== [2025-05-21T21:28:52.503Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-21T21:28:52.503Z] GC before operation: completed in 140.697 ms, heap usage 338.401 MB -> 96.792 MB. [2025-05-21T21:28:55.578Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:28:57.786Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:29:00.863Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:29:03.071Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:29:04.487Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:29:06.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:29:08.110Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:29:09.545Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:29:09.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:29:09.545Z] The best model improves the baseline by 14.43%. [2025-05-21T21:29:09.545Z] Top recommended movies for user id 72: [2025-05-21T21:29:09.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:29:09.545Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:29:09.545Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:29:09.545Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:29:09.545Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:29:09.545Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17073.034 ms) ====== [2025-05-21T21:29:09.545Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-21T21:29:10.226Z] GC before operation: completed in 105.336 ms, heap usage 246.175 MB -> 93.131 MB. [2025-05-21T21:29:15.023Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:29:15.708Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:29:18.783Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:29:21.007Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:29:23.216Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:29:23.900Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:29:26.111Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:29:27.524Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:29:27.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:29:27.524Z] The best model improves the baseline by 14.43%. [2025-05-21T21:29:27.524Z] Top recommended movies for user id 72: [2025-05-21T21:29:27.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:29:27.524Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:29:27.524Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:29:27.524Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:29:27.524Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:29:27.524Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17876.384 ms) ====== [2025-05-21T21:29:27.524Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-21T21:29:28.206Z] GC before operation: completed in 104.441 ms, heap usage 635.445 MB -> 95.703 MB. [2025-05-21T21:29:30.450Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:29:33.569Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:29:35.780Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:29:37.996Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:29:40.206Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:29:41.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:29:43.042Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:29:44.463Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:29:44.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:29:45.150Z] The best model improves the baseline by 14.43%. [2025-05-21T21:29:45.150Z] Top recommended movies for user id 72: [2025-05-21T21:29:45.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:29:45.150Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:29:45.150Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:29:45.150Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:29:45.150Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:29:45.150Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17109.247 ms) ====== [2025-05-21T21:29:45.150Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-21T21:29:45.150Z] GC before operation: completed in 144.283 ms, heap usage 1.005 GB -> 97.578 MB. [2025-05-21T21:29:48.220Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:29:51.292Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:29:53.501Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:29:56.582Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:29:57.995Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:29:59.415Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:30:00.842Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:30:02.277Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:30:02.974Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:30:02.974Z] The best model improves the baseline by 14.43%. [2025-05-21T21:30:02.974Z] Top recommended movies for user id 72: [2025-05-21T21:30:02.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:30:02.974Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:30:02.974Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:30:02.974Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:30:02.974Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:30:02.974Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17741.746 ms) ====== [2025-05-21T21:30:02.974Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-21T21:30:02.974Z] GC before operation: completed in 103.264 ms, heap usage 796.899 MB -> 97.305 MB. [2025-05-21T21:30:08.096Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:30:10.324Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:30:13.433Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:30:15.638Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:30:17.054Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:30:19.262Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:30:20.675Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:30:22.098Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:30:22.098Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:30:22.098Z] The best model improves the baseline by 14.43%. [2025-05-21T21:30:22.098Z] Top recommended movies for user id 72: [2025-05-21T21:30:22.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:30:22.098Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:30:22.098Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:30:22.098Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:30:22.098Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:30:22.098Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19343.583 ms) ====== [2025-05-21T21:30:22.100Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-21T21:30:22.782Z] GC before operation: completed in 150.997 ms, heap usage 581.593 MB -> 94.214 MB. [2025-05-21T21:30:25.876Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:30:29.373Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:30:31.587Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:30:34.710Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:30:36.128Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:30:37.539Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:30:38.954Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:30:40.374Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:30:40.374Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:30:40.374Z] The best model improves the baseline by 14.43%. [2025-05-21T21:30:41.058Z] Top recommended movies for user id 72: [2025-05-21T21:30:41.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:30:41.058Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:30:41.058Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:30:41.058Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:30:41.058Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:30:41.058Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18366.744 ms) ====== [2025-05-21T21:30:41.058Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-21T21:30:41.058Z] GC before operation: completed in 93.750 ms, heap usage 1002.511 MB -> 99.746 MB. [2025-05-21T21:30:44.131Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:30:47.197Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:30:50.274Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:30:53.358Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:30:55.578Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:30:56.990Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:30:58.404Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:30:59.837Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:31:00.523Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:31:00.523Z] The best model improves the baseline by 14.43%. [2025-05-21T21:31:00.523Z] Top recommended movies for user id 72: [2025-05-21T21:31:00.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:31:00.523Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:31:00.523Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:31:00.523Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:31:00.523Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:31:00.523Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19615.639 ms) ====== [2025-05-21T21:31:00.523Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-21T21:31:00.523Z] GC before operation: completed in 138.839 ms, heap usage 301.121 MB -> 96.639 MB. [2025-05-21T21:31:04.549Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:31:05.986Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:31:09.059Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:31:11.266Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:31:13.472Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:31:14.887Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:31:16.299Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:31:17.715Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:31:17.715Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:31:17.715Z] The best model improves the baseline by 14.43%. [2025-05-21T21:31:18.480Z] Top recommended movies for user id 72: [2025-05-21T21:31:18.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:31:18.480Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:31:18.480Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:31:18.481Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:31:18.481Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:31:18.481Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17517.281 ms) ====== [2025-05-21T21:31:18.481Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-21T21:31:18.481Z] GC before operation: completed in 106.061 ms, heap usage 257.674 MB -> 94.048 MB. [2025-05-21T21:31:21.556Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:31:23.763Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:31:25.971Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:31:29.054Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:31:30.469Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:31:31.884Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:31:33.298Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:31:34.713Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:31:34.713Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:31:34.713Z] The best model improves the baseline by 14.43%. [2025-05-21T21:31:35.397Z] Top recommended movies for user id 72: [2025-05-21T21:31:35.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:31:35.397Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:31:35.397Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:31:35.397Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:31:35.397Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:31:35.397Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16960.770 ms) ====== [2025-05-21T21:31:35.397Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-21T21:31:35.397Z] GC before operation: completed in 99.471 ms, heap usage 141.096 MB -> 97.405 MB. [2025-05-21T21:31:38.468Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:31:42.078Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:31:44.282Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:31:46.509Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:31:47.925Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:31:49.337Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:31:50.753Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:31:52.166Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:31:52.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:31:52.851Z] The best model improves the baseline by 14.43%. [2025-05-21T21:31:52.851Z] Top recommended movies for user id 72: [2025-05-21T21:31:52.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:31:52.851Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:31:52.851Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:31:52.851Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:31:52.851Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:31:52.851Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17417.145 ms) ====== [2025-05-21T21:31:52.851Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-21T21:31:52.851Z] GC before operation: completed in 107.439 ms, heap usage 978.299 MB -> 97.470 MB. [2025-05-21T21:31:55.931Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:31:58.137Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:32:01.220Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:32:03.433Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:32:04.845Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:32:06.262Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:32:07.678Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:32:09.887Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:32:09.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:32:09.887Z] The best model improves the baseline by 14.43%. [2025-05-21T21:32:09.887Z] Top recommended movies for user id 72: [2025-05-21T21:32:09.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:32:09.887Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:32:09.887Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:32:09.887Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:32:09.887Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:32:09.887Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17103.229 ms) ====== [2025-05-21T21:32:09.887Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-21T21:32:09.887Z] GC before operation: completed in 110.429 ms, heap usage 968.936 MB -> 98.823 MB. [2025-05-21T21:32:12.993Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:32:15.196Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:32:18.270Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:32:20.504Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:32:21.917Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:32:23.334Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:32:24.747Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:32:26.160Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:32:26.842Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:32:26.842Z] The best model improves the baseline by 14.43%. [2025-05-21T21:32:26.842Z] Top recommended movies for user id 72: [2025-05-21T21:32:26.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:32:26.842Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:32:26.842Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:32:26.842Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:32:26.842Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:32:26.842Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16735.194 ms) ====== [2025-05-21T21:32:26.842Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-21T21:32:26.842Z] GC before operation: completed in 102.835 ms, heap usage 824.444 MB -> 97.340 MB. [2025-05-21T21:32:29.935Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:32:33.015Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:32:35.222Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:32:38.293Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:32:39.709Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:32:41.122Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:32:42.548Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:32:43.965Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:32:43.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:32:43.965Z] The best model improves the baseline by 14.43%. [2025-05-21T21:32:44.648Z] Top recommended movies for user id 72: [2025-05-21T21:32:44.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:32:44.648Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:32:44.648Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:32:44.648Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:32:44.648Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:32:44.648Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17391.993 ms) ====== [2025-05-21T21:32:44.648Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-21T21:32:44.648Z] GC before operation: completed in 96.280 ms, heap usage 806.014 MB -> 98.028 MB. [2025-05-21T21:32:47.794Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-21T21:32:50.003Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-21T21:32:53.077Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-21T21:32:55.581Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-21T21:32:56.263Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-21T21:32:58.576Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-21T21:32:59.262Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-21T21:33:00.720Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-21T21:33:01.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-05-21T21:33:01.418Z] The best model improves the baseline by 14.43%. [2025-05-21T21:33:01.418Z] Top recommended movies for user id 72: [2025-05-21T21:33:01.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-05-21T21:33:01.418Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-05-21T21:33:01.418Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-05-21T21:33:01.418Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-05-21T21:33:01.418Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-05-21T21:33:01.418Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17038.747 ms) ====== [2025-05-21T21:33:02.845Z] ----------------------------------- [2025-05-21T21:33:02.845Z] renaissance-movie-lens_0_PASSED [2025-05-21T21:33:02.845Z] ----------------------------------- [2025-05-21T21:33:02.845Z] [2025-05-21T21:33:02.845Z] TEST TEARDOWN: [2025-05-21T21:33:02.845Z] Nothing to be done for teardown. [2025-05-21T21:33:02.845Z] renaissance-movie-lens_0 Finish Time: Wed May 21 16:33:01 2025 Epoch Time (ms): 1747863181640