renaissance-movie-lens_0
[2025-05-29T02:44:49.936Z] Running test renaissance-movie-lens_0 ...
[2025-05-29T02:44:49.936Z] ===============================================
[2025-05-29T02:44:49.936Z] renaissance-movie-lens_0 Start Time: Thu May 29 02:44:49 2025 Epoch Time (ms): 1748486689311
[2025-05-29T02:44:49.936Z] variation: NoOptions
[2025-05-29T02:44:49.936Z] JVM_OPTIONS:
[2025-05-29T02:44:49.936Z] { \
[2025-05-29T02:44:49.936Z] echo ""; echo "TEST SETUP:"; \
[2025-05-29T02:44:49.936Z] echo "Nothing to be done for setup."; \
[2025-05-29T02:44:49.936Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484850835836/renaissance-movie-lens_0"; \
[2025-05-29T02:44:49.936Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484850835836/renaissance-movie-lens_0"; \
[2025-05-29T02:44:49.936Z] echo ""; echo "TESTING:"; \
[2025-05-29T02:44:49.936Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484850835836/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-29T02:44:49.936Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484850835836/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-29T02:44:49.936Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-29T02:44:49.936Z] echo "Nothing to be done for teardown."; \
[2025-05-29T02:44:49.936Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484850835836/TestTargetResult";
[2025-05-29T02:44:49.936Z]
[2025-05-29T02:44:49.936Z] TEST SETUP:
[2025-05-29T02:44:49.936Z] Nothing to be done for setup.
[2025-05-29T02:44:49.936Z]
[2025-05-29T02:44:49.936Z] TESTING:
[2025-05-29T02:44:58.169Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-05-29T02:45:11.846Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-29T02:45:11.846Z] Training: 60056, validation: 20285, test: 19854
[2025-05-29T02:45:11.846Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-29T02:45:11.846Z] GC before operation: completed in 165.312 ms, heap usage 487.022 MB -> 75.303 MB.
[2025-05-29T02:45:18.681Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:45:23.117Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:45:27.552Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:45:31.302Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:45:33.754Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:45:36.216Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:45:38.669Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:45:41.122Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:45:41.122Z] 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.
[2025-05-29T02:45:41.122Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:45:41.885Z] Top recommended movies for user id 72:
[2025-05-29T02:45:41.885Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:45:41.885Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:45:41.885Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:45:41.885Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:45:41.885Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:45:41.885Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29657.669 ms) ======
[2025-05-29T02:45:41.885Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-29T02:45:41.885Z] GC before operation: completed in 216.530 ms, heap usage 279.850 MB -> 87.888 MB.
[2025-05-29T02:45:46.462Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:45:49.858Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:45:53.262Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:45:56.665Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:45:59.136Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:46:01.603Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:46:04.058Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:46:06.565Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:46:06.565Z] 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.
[2025-05-29T02:46:06.565Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:46:06.565Z] Top recommended movies for user id 72:
[2025-05-29T02:46:06.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:46:06.565Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:46:06.565Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:46:06.565Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:46:06.565Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:46:06.565Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24734.455 ms) ======
[2025-05-29T02:46:06.565Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-29T02:46:07.330Z] GC before operation: completed in 263.001 ms, heap usage 523.190 MB -> 90.953 MB.
[2025-05-29T02:46:10.730Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:46:14.141Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:46:18.576Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:46:21.991Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:46:23.567Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:46:26.023Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:46:28.498Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:46:30.077Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:46:31.050Z] 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.
[2025-05-29T02:46:31.050Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:46:31.050Z] Top recommended movies for user id 72:
[2025-05-29T02:46:31.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:46:31.050Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:46:31.050Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:46:31.050Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:46:31.050Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:46:31.050Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (23911.285 ms) ======
[2025-05-29T02:46:31.050Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-29T02:46:31.050Z] GC before operation: completed in 224.695 ms, heap usage 633.262 MB -> 95.078 MB.
[2025-05-29T02:46:34.478Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:46:38.929Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:46:42.341Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:46:45.762Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:46:47.349Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:46:49.801Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:46:52.251Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:46:53.838Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:46:54.602Z] 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.
[2025-05-29T02:46:54.602Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:46:54.602Z] Top recommended movies for user id 72:
[2025-05-29T02:46:54.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:46:54.602Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:46:54.602Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:46:54.602Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:46:54.602Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:46:54.602Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23484.190 ms) ======
[2025-05-29T02:46:54.602Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-29T02:46:54.602Z] GC before operation: completed in 214.474 ms, heap usage 185.983 MB -> 91.610 MB.
[2025-05-29T02:46:59.041Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:47:01.505Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:47:05.975Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:47:09.381Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:47:10.977Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:47:13.438Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:47:15.916Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:47:17.499Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:47:18.263Z] 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.
[2025-05-29T02:47:18.263Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:47:18.263Z] Top recommended movies for user id 72:
[2025-05-29T02:47:18.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:47:18.263Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:47:18.263Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:47:18.263Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:47:18.263Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:47:18.263Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23374.790 ms) ======
[2025-05-29T02:47:18.263Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-29T02:47:18.263Z] GC before operation: completed in 249.469 ms, heap usage 554.334 MB -> 91.844 MB.
[2025-05-29T02:47:21.675Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:47:26.124Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:47:29.539Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:47:32.952Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:47:34.747Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:47:37.207Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:47:38.786Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:47:41.254Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:47:41.255Z] 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.
[2025-05-29T02:47:42.020Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:47:42.020Z] Top recommended movies for user id 72:
[2025-05-29T02:47:42.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:47:42.020Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:47:42.020Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:47:42.020Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:47:42.020Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:47:42.020Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23411.665 ms) ======
[2025-05-29T02:47:42.020Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-29T02:47:42.020Z] GC before operation: completed in 245.947 ms, heap usage 127.452 MB -> 91.920 MB.
[2025-05-29T02:47:45.420Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:47:48.821Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:47:52.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:47:55.636Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:47:58.086Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:48:00.601Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:48:02.183Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:48:04.643Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:48:04.643Z] 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.
[2025-05-29T02:48:04.643Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:48:05.407Z] Top recommended movies for user id 72:
[2025-05-29T02:48:05.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:48:05.408Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:48:05.408Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:48:05.408Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:48:05.408Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:48:05.408Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (22939.616 ms) ======
[2025-05-29T02:48:05.408Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-29T02:48:05.408Z] GC before operation: completed in 248.537 ms, heap usage 182.489 MB -> 91.874 MB.
[2025-05-29T02:48:08.982Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:48:12.387Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:48:15.783Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:48:19.179Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:48:21.633Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:48:23.210Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:48:25.687Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:48:27.265Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:48:28.039Z] 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.
[2025-05-29T02:48:28.039Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:48:28.039Z] Top recommended movies for user id 72:
[2025-05-29T02:48:28.039Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:48:28.039Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:48:28.039Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:48:28.039Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:48:28.039Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:48:28.039Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22912.471 ms) ======
[2025-05-29T02:48:28.039Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-29T02:48:28.803Z] GC before operation: completed in 249.555 ms, heap usage 879.327 MB -> 96.000 MB.
[2025-05-29T02:48:32.207Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:48:35.609Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:48:39.226Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:48:42.619Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:48:45.205Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:48:46.786Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:48:49.240Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:48:50.835Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:48:51.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-29T02:48:51.597Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:48:51.597Z] Top recommended movies for user id 72:
[2025-05-29T02:48:51.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:48:51.597Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:48:51.597Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:48:51.597Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:48:51.597Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:48:51.597Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23145.946 ms) ======
[2025-05-29T02:48:51.597Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-29T02:48:51.597Z] GC before operation: completed in 193.213 ms, heap usage 413.661 MB -> 92.168 MB.
[2025-05-29T02:48:55.000Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:48:59.435Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:49:02.838Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:49:06.247Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:49:07.826Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:49:10.279Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:49:12.752Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:49:14.351Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:49:15.115Z] 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.
[2025-05-29T02:49:15.115Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:49:15.115Z] Top recommended movies for user id 72:
[2025-05-29T02:49:15.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:49:15.115Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:49:15.115Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:49:15.115Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:49:15.115Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:49:15.115Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23207.054 ms) ======
[2025-05-29T02:49:15.115Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-29T02:49:15.115Z] GC before operation: completed in 208.530 ms, heap usage 321.888 MB -> 92.302 MB.
[2025-05-29T02:49:18.512Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:49:21.906Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:49:26.341Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:49:28.794Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:49:31.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:49:32.831Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:49:35.301Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:49:37.836Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:49:37.836Z] 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.
[2025-05-29T02:49:37.836Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:49:37.836Z] Top recommended movies for user id 72:
[2025-05-29T02:49:37.836Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:49:37.836Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:49:37.836Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:49:37.836Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:49:37.836Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:49:37.836Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22740.101 ms) ======
[2025-05-29T02:49:37.836Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-29T02:49:37.836Z] GC before operation: completed in 207.019 ms, heap usage 690.637 MB -> 92.308 MB.
[2025-05-29T02:49:41.783Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:49:45.254Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:49:48.676Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:49:52.102Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:49:54.578Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:49:56.165Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:49:58.636Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:50:00.227Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:50:00.992Z] 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.
[2025-05-29T02:50:00.992Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:50:00.992Z] Top recommended movies for user id 72:
[2025-05-29T02:50:00.992Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:50:00.992Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:50:00.992Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:50:00.992Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:50:00.992Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:50:00.992Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22953.073 ms) ======
[2025-05-29T02:50:00.992Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-29T02:50:01.759Z] GC before operation: completed in 242.466 ms, heap usage 371.397 MB -> 92.310 MB.
[2025-05-29T02:50:05.156Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:50:08.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:50:11.993Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:50:15.402Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:50:16.979Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:50:19.439Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:50:21.940Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:50:25.634Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:50:25.634Z] 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.
[2025-05-29T02:50:25.634Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:50:25.634Z] Top recommended movies for user id 72:
[2025-05-29T02:50:25.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:50:25.635Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:50:25.635Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:50:25.635Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:50:25.635Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:50:25.635Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22835.675 ms) ======
[2025-05-29T02:50:25.635Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-29T02:50:25.635Z] GC before operation: completed in 234.754 ms, heap usage 519.547 MB -> 92.522 MB.
[2025-05-29T02:50:28.090Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:50:31.496Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:50:34.898Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:50:38.302Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:50:40.757Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:50:42.334Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:50:45.152Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:50:46.731Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:50:46.731Z] 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.
[2025-05-29T02:50:46.731Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:50:47.495Z] Top recommended movies for user id 72:
[2025-05-29T02:50:47.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:50:47.495Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:50:47.495Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:50:47.495Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:50:47.495Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:50:47.495Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22868.014 ms) ======
[2025-05-29T02:50:47.495Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-29T02:50:47.495Z] GC before operation: completed in 235.115 ms, heap usage 771.495 MB -> 95.808 MB.
[2025-05-29T02:50:50.894Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:50:54.300Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:50:57.698Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:51:01.106Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:51:03.554Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:51:05.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:51:07.584Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:51:10.051Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:51:10.051Z] 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.
[2025-05-29T02:51:10.051Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:51:10.051Z] Top recommended movies for user id 72:
[2025-05-29T02:51:10.051Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:51:10.051Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:51:10.051Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:51:10.051Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:51:10.051Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:51:10.051Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22671.166 ms) ======
[2025-05-29T02:51:10.051Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-29T02:51:10.816Z] GC before operation: completed in 235.076 ms, heap usage 569.850 MB -> 92.570 MB.
[2025-05-29T02:51:14.255Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:51:17.663Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:51:21.070Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:51:24.467Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:51:26.054Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:51:28.519Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:51:30.239Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:51:32.693Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:51:32.693Z] 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.
[2025-05-29T02:51:33.460Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:51:33.460Z] Top recommended movies for user id 72:
[2025-05-29T02:51:33.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:51:33.460Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:51:33.460Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:51:33.461Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:51:33.461Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:51:33.461Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22835.222 ms) ======
[2025-05-29T02:51:33.461Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-29T02:51:33.461Z] GC before operation: completed in 204.086 ms, heap usage 358.680 MB -> 92.290 MB.
[2025-05-29T02:51:36.863Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:51:40.259Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:51:44.725Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:51:47.177Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:51:50.008Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:51:51.583Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:51:54.037Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:51:55.619Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:51:56.387Z] 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.
[2025-05-29T02:51:56.387Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:51:56.387Z] Top recommended movies for user id 72:
[2025-05-29T02:51:56.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:51:56.387Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:51:56.387Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:51:56.387Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:51:56.387Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:51:56.387Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23091.865 ms) ======
[2025-05-29T02:51:56.387Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-29T02:51:57.155Z] GC before operation: completed in 237.693 ms, heap usage 388.154 MB -> 92.375 MB.
[2025-05-29T02:52:00.554Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:52:03.955Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:52:07.352Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:52:10.765Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:52:12.352Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:52:14.824Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:52:17.274Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:52:18.867Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:52:19.630Z] 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.
[2025-05-29T02:52:19.630Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:52:19.630Z] Top recommended movies for user id 72:
[2025-05-29T02:52:19.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:52:19.630Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:52:19.630Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:52:19.630Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:52:19.630Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:52:19.630Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22741.468 ms) ======
[2025-05-29T02:52:19.630Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-29T02:52:19.630Z] GC before operation: completed in 195.960 ms, heap usage 192.573 MB -> 91.960 MB.
[2025-05-29T02:52:23.022Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:52:27.462Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:52:30.871Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:52:34.281Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:52:35.867Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:52:38.326Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:52:39.925Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:52:42.385Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:52:42.385Z] 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.
[2025-05-29T02:52:42.385Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:52:43.161Z] Top recommended movies for user id 72:
[2025-05-29T02:52:43.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:52:43.161Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:52:43.161Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:52:43.161Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:52:43.161Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:52:43.161Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23101.844 ms) ======
[2025-05-29T02:52:43.161Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-29T02:52:43.161Z] GC before operation: completed in 216.472 ms, heap usage 539.083 MB -> 92.468 MB.
[2025-05-29T02:52:46.625Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-29T02:52:50.040Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-29T02:52:53.784Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-29T02:52:57.186Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-29T02:52:59.642Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-29T02:53:01.232Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-29T02:53:03.703Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-29T02:53:05.283Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-29T02:53:06.045Z] 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.
[2025-05-29T02:53:06.045Z] The best model improves the baseline by 14.43%.
[2025-05-29T02:53:06.045Z] Top recommended movies for user id 72:
[2025-05-29T02:53:06.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-29T02:53:06.045Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-29T02:53:06.045Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-29T02:53:06.045Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-29T02:53:06.045Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-29T02:53:06.045Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23168.694 ms) ======
[2025-05-29T02:53:06.808Z] -----------------------------------
[2025-05-29T02:53:06.808Z] renaissance-movie-lens_0_PASSED
[2025-05-29T02:53:06.808Z] -----------------------------------
[2025-05-29T02:53:06.808Z]
[2025-05-29T02:53:06.808Z] TEST TEARDOWN:
[2025-05-29T02:53:06.808Z] Nothing to be done for teardown.
[2025-05-29T02:53:06.808Z] renaissance-movie-lens_0 Finish Time: Thu May 29 02:53:06 2025 Epoch Time (ms): 1748487186346