renaissance-movie-lens_0
[2025-06-11T23:27:35.847Z] Running test renaissance-movie-lens_0 ...
[2025-06-11T23:27:35.847Z] ===============================================
[2025-06-11T23:27:35.847Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 23:27:34 2025 Epoch Time (ms): 1749684454833
[2025-06-11T23:27:35.847Z] variation: NoOptions
[2025-06-11T23:27:35.847Z] JVM_OPTIONS:
[2025-06-11T23:27:35.847Z] { \
[2025-06-11T23:27:35.847Z] echo ""; echo "TEST SETUP:"; \
[2025-06-11T23:27:35.847Z] echo "Nothing to be done for setup."; \
[2025-06-11T23:27:35.847Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17496827381691/renaissance-movie-lens_0"; \
[2025-06-11T23:27:35.847Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17496827381691/renaissance-movie-lens_0"; \
[2025-06-11T23:27:35.847Z] echo ""; echo "TESTING:"; \
[2025-06-11T23:27:35.847Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17496827381691/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-11T23:27:35.847Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17496827381691/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-11T23:27:35.847Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-11T23:27:35.847Z] echo "Nothing to be done for teardown."; \
[2025-06-11T23:27:35.847Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17496827381691/TestTargetResult";
[2025-06-11T23:27:35.847Z]
[2025-06-11T23:27:35.847Z] TEST SETUP:
[2025-06-11T23:27:35.847Z] Nothing to be done for setup.
[2025-06-11T23:27:35.847Z]
[2025-06-11T23:27:35.847Z] TESTING:
[2025-06-11T23:27:47.145Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-11T23:28:08.061Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-11T23:28:08.061Z] Training: 60056, validation: 20285, test: 19854
[2025-06-11T23:28:08.061Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-11T23:28:08.061Z] GC before operation: completed in 338.259 ms, heap usage 429.350 MB -> 75.125 MB.
[2025-06-11T23:28:19.400Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:28:24.662Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:28:30.612Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:28:34.729Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:28:37.675Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:28:40.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:28:42.534Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:28:45.481Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:28:46.410Z] 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.
[2025-06-11T23:28:46.410Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:28:46.410Z] Top recommended movies for user id 72:
[2025-06-11T23:28:46.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:28:46.410Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:28:46.410Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:28:46.410Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:28:46.410Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:28:46.410Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38984.051 ms) ======
[2025-06-11T23:28:46.410Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-11T23:28:46.410Z] GC before operation: completed in 308.329 ms, heap usage 630.436 MB -> 88.623 MB.
[2025-06-11T23:28:51.665Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:28:55.723Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:28:59.790Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:29:04.027Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:29:05.996Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:29:08.991Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:29:10.899Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:29:13.855Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:29:13.855Z] 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.
[2025-06-11T23:29:13.855Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:29:14.783Z] Top recommended movies for user id 72:
[2025-06-11T23:29:14.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:29:14.783Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:29:14.783Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:29:14.783Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:29:14.783Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:29:14.783Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27792.642 ms) ======
[2025-06-11T23:29:14.783Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-11T23:29:14.783Z] GC before operation: completed in 388.665 ms, heap usage 752.333 MB -> 93.448 MB.
[2025-06-11T23:29:20.033Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:29:24.087Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:29:28.145Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:29:32.201Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:29:34.108Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:29:36.473Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:29:39.423Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:29:41.389Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:29:42.320Z] 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.
[2025-06-11T23:29:42.320Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:29:42.320Z] Top recommended movies for user id 72:
[2025-06-11T23:29:42.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:29:42.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:29:42.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:29:42.320Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:29:42.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:29:42.320Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27377.672 ms) ======
[2025-06-11T23:29:42.320Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-11T23:29:42.320Z] GC before operation: completed in 398.433 ms, heap usage 520.986 MB -> 90.648 MB.
[2025-06-11T23:29:47.580Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:29:51.770Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:29:55.989Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:30:00.127Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:30:03.074Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:30:04.983Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:30:08.028Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:30:10.976Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:30:10.976Z] 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.
[2025-06-11T23:30:10.976Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:30:10.976Z] Top recommended movies for user id 72:
[2025-06-11T23:30:10.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:30:10.976Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:30:10.976Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:30:10.976Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:30:10.976Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:30:10.976Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28483.679 ms) ======
[2025-06-11T23:30:10.976Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-11T23:30:11.905Z] GC before operation: completed in 386.675 ms, heap usage 543.739 MB -> 90.906 MB.
[2025-06-11T23:30:15.965Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:30:20.028Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:30:24.087Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:30:28.145Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:30:30.085Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:30:33.033Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:30:34.946Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:30:37.567Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:30:37.567Z] 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.
[2025-06-11T23:30:37.567Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:30:37.567Z] Top recommended movies for user id 72:
[2025-06-11T23:30:37.567Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:30:37.567Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:30:37.567Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:30:37.567Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:30:37.567Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:30:37.567Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (26382.285 ms) ======
[2025-06-11T23:30:37.567Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-11T23:30:38.495Z] GC before operation: completed in 321.793 ms, heap usage 532.328 MB -> 90.850 MB.
[2025-06-11T23:30:42.554Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:30:46.627Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:30:50.707Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:30:53.654Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:30:56.601Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:30:58.509Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:31:01.457Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:31:03.365Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:31:03.365Z] 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.
[2025-06-11T23:31:03.365Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:31:04.293Z] Top recommended movies for user id 72:
[2025-06-11T23:31:04.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:31:04.293Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:31:04.293Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:31:04.293Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:31:04.293Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:31:04.293Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25565.511 ms) ======
[2025-06-11T23:31:04.293Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-11T23:31:04.293Z] GC before operation: completed in 358.333 ms, heap usage 763.888 MB -> 94.711 MB.
[2025-06-11T23:31:08.477Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:31:12.536Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:31:15.485Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:31:19.542Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:31:21.450Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:31:24.398Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:31:26.304Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:31:29.250Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:31:29.250Z] 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.
[2025-06-11T23:31:29.250Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:31:29.250Z] Top recommended movies for user id 72:
[2025-06-11T23:31:29.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:31:29.250Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:31:29.250Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:31:29.250Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:31:29.250Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:31:29.250Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (25154.086 ms) ======
[2025-06-11T23:31:29.250Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-11T23:31:30.179Z] GC before operation: completed in 369.627 ms, heap usage 651.639 MB -> 91.198 MB.
[2025-06-11T23:31:34.232Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:31:37.179Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:31:41.249Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:31:44.968Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:31:47.921Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:31:49.833Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:31:52.780Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:31:54.690Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:31:54.690Z] 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.
[2025-06-11T23:31:54.690Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:31:55.619Z] Top recommended movies for user id 72:
[2025-06-11T23:31:55.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:31:55.619Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:31:55.619Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:31:55.619Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:31:55.619Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:31:55.619Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25549.334 ms) ======
[2025-06-11T23:31:55.619Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-11T23:31:55.619Z] GC before operation: completed in 366.070 ms, heap usage 519.006 MB -> 91.340 MB.
[2025-06-11T23:31:59.677Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:32:03.740Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:32:07.966Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:32:12.027Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:32:13.938Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:32:16.889Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:32:18.801Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:32:21.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:32:21.749Z] 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.
[2025-06-11T23:32:21.749Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:32:22.678Z] Top recommended movies for user id 72:
[2025-06-11T23:32:22.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:32:22.678Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:32:22.678Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:32:22.678Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:32:22.678Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:32:22.678Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26684.149 ms) ======
[2025-06-11T23:32:22.678Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-11T23:32:22.678Z] GC before operation: completed in 359.592 ms, heap usage 515.180 MB -> 91.176 MB.
[2025-06-11T23:32:26.742Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:32:30.815Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:32:34.872Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:32:38.934Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:32:41.878Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:32:43.786Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:32:47.420Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:32:49.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:32:49.326Z] 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.
[2025-06-11T23:32:49.326Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:32:50.268Z] Top recommended movies for user id 72:
[2025-06-11T23:32:50.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:32:50.268Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:32:50.268Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:32:50.268Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:32:50.268Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:32:50.268Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27231.638 ms) ======
[2025-06-11T23:32:50.268Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-11T23:32:50.268Z] GC before operation: completed in 418.434 ms, heap usage 390.054 MB -> 91.296 MB.
[2025-06-11T23:32:54.324Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:32:58.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:33:02.496Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:33:06.563Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:33:08.473Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:33:11.432Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:33:13.341Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:33:16.290Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:33:16.290Z] 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.
[2025-06-11T23:33:16.290Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:33:16.290Z] Top recommended movies for user id 72:
[2025-06-11T23:33:16.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:33:16.290Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:33:16.290Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:33:16.290Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:33:16.290Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:33:16.290Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26077.087 ms) ======
[2025-06-11T23:33:16.290Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-11T23:33:16.290Z] GC before operation: completed in 304.082 ms, heap usage 505.089 MB -> 91.098 MB.
[2025-06-11T23:33:20.350Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:33:24.409Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:33:28.586Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:33:32.639Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:33:35.688Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:33:37.695Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:33:40.657Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:33:45.529Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:33:45.529Z] 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.
[2025-06-11T23:33:45.529Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:33:45.529Z] Top recommended movies for user id 72:
[2025-06-11T23:33:45.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:33:45.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:33:45.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:33:45.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:33:45.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:33:45.529Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27203.711 ms) ======
[2025-06-11T23:33:45.529Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-11T23:33:45.529Z] GC before operation: completed in 380.937 ms, heap usage 513.349 MB -> 94.542 MB.
[2025-06-11T23:33:49.588Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:33:53.706Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:33:57.156Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:34:01.251Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:34:04.382Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:34:06.332Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:34:09.280Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:34:11.189Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:34:11.189Z] 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.
[2025-06-11T23:34:11.189Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:34:12.118Z] Top recommended movies for user id 72:
[2025-06-11T23:34:12.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:34:12.118Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:34:12.118Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:34:12.118Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:34:12.118Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:34:12.118Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (27403.392 ms) ======
[2025-06-11T23:34:12.118Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-11T23:34:12.118Z] GC before operation: completed in 413.405 ms, heap usage 547.144 MB -> 91.369 MB.
[2025-06-11T23:34:16.179Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:34:20.482Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:34:23.434Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:34:27.509Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:34:30.464Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:34:32.377Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:34:35.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:34:37.267Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:34:37.267Z] 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.
[2025-06-11T23:34:37.267Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:34:37.267Z] Top recommended movies for user id 72:
[2025-06-11T23:34:37.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:34:37.267Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:34:37.267Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:34:37.267Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:34:37.267Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:34:37.267Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25476.798 ms) ======
[2025-06-11T23:34:37.267Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-11T23:34:38.195Z] GC before operation: completed in 370.978 ms, heap usage 344.330 MB -> 91.068 MB.
[2025-06-11T23:34:42.265Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:34:46.329Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:34:49.286Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:34:53.355Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:34:55.266Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:34:57.332Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:34:59.674Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:35:01.594Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:35:01.594Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-11T23:35:01.594Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:35:02.542Z] Top recommended movies for user id 72:
[2025-06-11T23:35:02.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:35:02.542Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:35:02.542Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:35:02.542Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:35:02.542Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:35:02.542Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (24071.451 ms) ======
[2025-06-11T23:35:02.542Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-11T23:35:02.542Z] GC before operation: completed in 313.804 ms, heap usage 508.787 MB -> 91.501 MB.
[2025-06-11T23:35:06.605Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:35:10.674Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:35:13.629Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:35:17.693Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:35:20.643Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:35:22.556Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:35:25.511Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:35:27.432Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:35:28.364Z] 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.
[2025-06-11T23:35:28.364Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:35:28.364Z] Top recommended movies for user id 72:
[2025-06-11T23:35:28.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:35:28.364Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:35:28.364Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:35:28.364Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:35:28.364Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:35:28.364Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (25783.697 ms) ======
[2025-06-11T23:35:28.364Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-11T23:35:28.364Z] GC before operation: completed in 490.383 ms, heap usage 672.540 MB -> 91.538 MB.
[2025-06-11T23:35:32.432Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:35:36.500Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:35:40.581Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:35:44.667Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:35:46.583Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:35:48.497Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:35:51.457Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:35:53.389Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:35:54.319Z] 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.
[2025-06-11T23:35:54.320Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:35:54.320Z] Top recommended movies for user id 72:
[2025-06-11T23:35:54.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:35:54.320Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:35:54.320Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:35:54.320Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:35:54.320Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:35:54.320Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25575.574 ms) ======
[2025-06-11T23:35:54.320Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-11T23:35:54.320Z] GC before operation: completed in 493.298 ms, heap usage 558.296 MB -> 91.421 MB.
[2025-06-11T23:35:58.403Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:36:02.474Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:36:06.133Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:36:09.084Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:36:10.992Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:36:13.938Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:36:15.844Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:36:17.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:36:17.749Z] 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.
[2025-06-11T23:36:17.749Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:36:17.749Z] Top recommended movies for user id 72:
[2025-06-11T23:36:17.749Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:36:17.749Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:36:17.749Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:36:17.749Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:36:17.749Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:36:17.749Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23453.107 ms) ======
[2025-06-11T23:36:17.749Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-11T23:36:18.677Z] GC before operation: completed in 359.730 ms, heap usage 792.401 MB -> 94.789 MB.
[2025-06-11T23:36:22.734Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:36:26.789Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:36:29.734Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:36:33.790Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:36:35.703Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:36:37.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:36:40.555Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:36:42.471Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:36:42.471Z] 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.
[2025-06-11T23:36:42.471Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:36:43.400Z] Top recommended movies for user id 72:
[2025-06-11T23:36:43.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:36:43.400Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:36:43.400Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:36:43.400Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:36:43.400Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:36:43.400Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24496.151 ms) ======
[2025-06-11T23:36:43.400Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-11T23:36:43.400Z] GC before operation: completed in 312.276 ms, heap usage 541.382 MB -> 92.217 MB.
[2025-06-11T23:36:47.455Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-11T23:36:50.479Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-11T23:36:54.539Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-11T23:36:57.485Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-11T23:36:59.390Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-11T23:37:01.319Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-11T23:37:03.226Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-11T23:37:07.013Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-11T23:37:07.013Z] 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.
[2025-06-11T23:37:07.013Z] The best model improves the baseline by 14.43%.
[2025-06-11T23:37:07.013Z] Top recommended movies for user id 72:
[2025-06-11T23:37:07.013Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-11T23:37:07.013Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-11T23:37:07.013Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-11T23:37:07.013Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-11T23:37:07.013Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-11T23:37:07.013Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22975.327 ms) ======
[2025-06-11T23:37:07.943Z] -----------------------------------
[2025-06-11T23:37:07.943Z] renaissance-movie-lens_0_PASSED
[2025-06-11T23:37:07.943Z] -----------------------------------
[2025-06-11T23:37:07.943Z]
[2025-06-11T23:37:07.943Z] TEST TEARDOWN:
[2025-06-11T23:37:07.943Z] Nothing to be done for teardown.
[2025-06-11T23:37:07.943Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 23:37:07 2025 Epoch Time (ms): 1749685027796