renaissance-movie-lens_0
[2025-07-15T22:27:46.270Z] Running test renaissance-movie-lens_0 ...
[2025-07-15T22:27:46.270Z] ===============================================
[2025-07-15T22:27:46.270Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 22:27:45 2025 Epoch Time (ms): 1752618465280
[2025-07-15T22:27:46.270Z] variation: NoOptions
[2025-07-15T22:27:46.270Z] JVM_OPTIONS:
[2025-07-15T22:27:46.270Z] { \
[2025-07-15T22:27:46.270Z] echo ""; echo "TEST SETUP:"; \
[2025-07-15T22:27:46.270Z] echo "Nothing to be done for setup."; \
[2025-07-15T22:27:46.270Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_175261754917/renaissance-movie-lens_0"; \
[2025-07-15T22:27:46.271Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_175261754917/renaissance-movie-lens_0"; \
[2025-07-15T22:27:46.271Z] echo ""; echo "TESTING:"; \
[2025-07-15T22:27:46.271Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_175261754917/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-15T22:27:46.271Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_175261754917/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-15T22:27:46.271Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-15T22:27:46.271Z] echo "Nothing to be done for teardown."; \
[2025-07-15T22:27:46.271Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_175261754917/TestTargetResult";
[2025-07-15T22:27:46.271Z]
[2025-07-15T22:27:46.271Z] TEST SETUP:
[2025-07-15T22:27:46.271Z] Nothing to be done for setup.
[2025-07-15T22:27:46.271Z]
[2025-07-15T22:27:46.271Z] TESTING:
[2025-07-15T22:27:54.242Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-07-15T22:28:12.277Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-15T22:28:12.277Z] Training: 60056, validation: 20285, test: 19854
[2025-07-15T22:28:12.277Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-15T22:28:12.277Z] GC before operation: completed in 120.754 ms, heap usage 434.059 MB -> 77.856 MB.
[2025-07-15T22:28:21.835Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:28:27.087Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:28:32.398Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:28:37.142Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:28:39.059Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:28:42.005Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:28:43.956Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:28:46.905Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:28:46.905Z] 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.
[2025-07-15T22:28:47.832Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:28:47.832Z] Top recommended movies for user id 72:
[2025-07-15T22:28:47.832Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:28:47.832Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:28:47.832Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:28:47.832Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:28:47.832Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:28:47.832Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36362.514 ms) ======
[2025-07-15T22:28:47.832Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-15T22:28:47.832Z] GC before operation: completed in 151.296 ms, heap usage 141.037 MB -> 92.498 MB.
[2025-07-15T22:28:51.882Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:28:55.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:29:00.000Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:29:04.070Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:29:05.987Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:29:08.943Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:29:10.864Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:29:13.820Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:29:13.820Z] 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.
[2025-07-15T22:29:13.820Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:29:13.820Z] Top recommended movies for user id 72:
[2025-07-15T22:29:13.820Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:29:13.820Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:29:13.820Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:29:13.820Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:29:13.820Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:29:13.820Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26216.225 ms) ======
[2025-07-15T22:29:13.820Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-15T22:29:14.749Z] GC before operation: completed in 144.962 ms, heap usage 233.100 MB -> 94.000 MB.
[2025-07-15T22:29:17.764Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:29:21.819Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:29:25.874Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:29:28.823Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:29:30.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:29:32.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:29:34.543Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:29:36.529Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:29:37.457Z] 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.
[2025-07-15T22:29:37.457Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:29:37.457Z] Top recommended movies for user id 72:
[2025-07-15T22:29:37.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:29:37.457Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:29:37.457Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:29:37.457Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:29:37.457Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:29:37.457Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22972.838 ms) ======
[2025-07-15T22:29:37.457Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-15T22:29:37.457Z] GC before operation: completed in 156.315 ms, heap usage 290.697 MB -> 95.034 MB.
[2025-07-15T22:29:41.516Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:29:44.540Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:29:47.481Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:29:51.263Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:29:53.168Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:29:55.071Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:29:57.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:29:58.922Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:29:58.922Z] 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.
[2025-07-15T22:29:58.922Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:29:59.849Z] Top recommended movies for user id 72:
[2025-07-15T22:29:59.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:29:59.849Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:29:59.849Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:29:59.849Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:29:59.849Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:29:59.849Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22091.951 ms) ======
[2025-07-15T22:29:59.849Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-15T22:29:59.849Z] GC before operation: completed in 155.485 ms, heap usage 1.368 GB -> 97.816 MB.
[2025-07-15T22:30:02.827Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:30:06.880Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:30:09.829Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:30:12.770Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:30:14.674Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:30:16.637Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:30:19.578Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:30:21.482Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:30:21.482Z] 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.
[2025-07-15T22:30:21.482Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:30:21.482Z] Top recommended movies for user id 72:
[2025-07-15T22:30:21.482Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:30:21.482Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:30:21.482Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:30:21.482Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:30:21.482Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:30:21.482Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22071.284 ms) ======
[2025-07-15T22:30:21.482Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-15T22:30:22.416Z] GC before operation: completed in 157.954 ms, heap usage 1.050 GB -> 97.214 MB.
[2025-07-15T22:30:25.363Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:30:29.413Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:30:32.354Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:30:35.298Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:30:37.203Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:30:39.106Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:30:42.050Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:30:43.956Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:30:43.956Z] 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.
[2025-07-15T22:30:43.956Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:30:44.886Z] Top recommended movies for user id 72:
[2025-07-15T22:30:44.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:30:44.886Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:30:44.886Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:30:44.886Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:30:44.886Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:30:44.886Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22576.524 ms) ======
[2025-07-15T22:30:44.886Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-15T22:30:44.886Z] GC before operation: completed in 149.682 ms, heap usage 342.916 MB -> 95.107 MB.
[2025-07-15T22:30:48.942Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:30:51.887Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:30:54.829Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:30:57.774Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:30:59.685Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:01.601Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:03.516Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:05.423Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:07.026Z] 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.
[2025-07-15T22:31:07.026Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:07.026Z] Top recommended movies for user id 72:
[2025-07-15T22:31:07.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:07.026Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:07.026Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:07.026Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:07.026Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:07.026Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21813.211 ms) ======
[2025-07-15T22:31:07.026Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-15T22:31:07.026Z] GC before operation: completed in 156.184 ms, heap usage 718.903 MB -> 98.654 MB.
[2025-07-15T22:31:09.975Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:12.920Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:31:16.986Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:31:19.983Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:31:21.889Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:23.796Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:25.703Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:27.610Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:28.539Z] 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.
[2025-07-15T22:31:28.539Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:28.539Z] Top recommended movies for user id 72:
[2025-07-15T22:31:28.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:28.539Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:28.539Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:28.539Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:28.539Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:28.539Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21962.465 ms) ======
[2025-07-15T22:31:28.539Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-15T22:31:28.539Z] GC before operation: completed in 162.541 ms, heap usage 360.049 MB -> 94.671 MB.
[2025-07-15T22:31:32.598Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:35.553Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:31:38.498Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:31:41.443Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:31:43.476Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:31:45.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:31:47.290Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:31:49.198Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:31:50.127Z] 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.
[2025-07-15T22:31:50.127Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:31:50.127Z] Top recommended movies for user id 72:
[2025-07-15T22:31:50.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:31:50.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:31:50.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:31:50.127Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:31:50.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:31:50.127Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21490.801 ms) ======
[2025-07-15T22:31:50.127Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-15T22:31:50.127Z] GC before operation: completed in 151.317 ms, heap usage 207.363 MB -> 94.321 MB.
[2025-07-15T22:31:54.176Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:31:57.119Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:00.060Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:03.009Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:04.917Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:06.822Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:08.736Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:10.642Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:11.570Z] 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.
[2025-07-15T22:32:11.570Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:11.570Z] Top recommended movies for user id 72:
[2025-07-15T22:32:11.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:11.570Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:11.570Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:11.570Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:11.570Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:11.570Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20985.213 ms) ======
[2025-07-15T22:32:11.570Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-15T22:32:11.570Z] GC before operation: completed in 157.356 ms, heap usage 991.003 MB -> 97.415 MB.
[2025-07-15T22:32:14.515Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:18.569Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:21.509Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:25.124Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:26.051Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:27.957Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:30.901Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:32.975Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:32.975Z] 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.
[2025-07-15T22:32:32.975Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:32.975Z] Top recommended movies for user id 72:
[2025-07-15T22:32:32.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:32.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:32.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:32.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:32.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:32.975Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21545.691 ms) ======
[2025-07-15T22:32:32.975Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-15T22:32:32.975Z] GC before operation: completed in 163.455 ms, heap usage 1.512 GB -> 98.231 MB.
[2025-07-15T22:32:37.034Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:32:39.978Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:32:42.926Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:32:45.867Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:32:47.771Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:32:49.678Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:32:51.586Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:32:54.528Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:32:54.529Z] 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.
[2025-07-15T22:32:54.529Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:32:54.529Z] Top recommended movies for user id 72:
[2025-07-15T22:32:54.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:32:54.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:32:54.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:32:54.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:32:54.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:32:54.529Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21396.332 ms) ======
[2025-07-15T22:32:54.529Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-15T22:32:54.529Z] GC before operation: completed in 146.670 ms, heap usage 803.263 MB -> 96.926 MB.
[2025-07-15T22:32:58.588Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:01.529Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:04.472Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:07.423Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:09.331Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:11.241Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:13.146Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:33:16.090Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:33:16.090Z] 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.
[2025-07-15T22:33:16.090Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:33:16.090Z] Top recommended movies for user id 72:
[2025-07-15T22:33:16.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:33:16.090Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:33:16.090Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:33:16.090Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:33:16.090Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:33:16.090Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21470.597 ms) ======
[2025-07-15T22:33:16.090Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-15T22:33:16.090Z] GC before operation: completed in 150.883 ms, heap usage 473.546 MB -> 94.864 MB.
[2025-07-15T22:33:20.143Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:23.089Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:27.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:30.091Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:31.996Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:33.908Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:35.843Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:33:37.750Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:33:39.357Z] 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.
[2025-07-15T22:33:39.357Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:33:39.357Z] Top recommended movies for user id 72:
[2025-07-15T22:33:39.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:33:39.357Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:33:39.357Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:33:39.357Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:33:39.357Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:33:39.357Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22440.396 ms) ======
[2025-07-15T22:33:39.357Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-15T22:33:39.357Z] GC before operation: completed in 170.219 ms, heap usage 1.460 GB -> 100.807 MB.
[2025-07-15T22:33:42.395Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:33:45.341Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:33:49.406Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:33:52.352Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:33:54.275Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:33:56.181Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:33:58.211Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:00.121Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:00.121Z] 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.
[2025-07-15T22:34:00.121Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:00.121Z] Top recommended movies for user id 72:
[2025-07-15T22:34:00.121Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:00.121Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:00.121Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:00.121Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:00.121Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:00.121Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21470.898 ms) ======
[2025-07-15T22:34:00.121Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-15T22:34:01.052Z] GC before operation: completed in 160.500 ms, heap usage 1.070 GB -> 100.142 MB.
[2025-07-15T22:34:03.997Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:08.053Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:11.014Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:13.954Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:15.858Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:17.765Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:34:20.725Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:22.632Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:22.632Z] 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.
[2025-07-15T22:34:22.632Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:22.632Z] Top recommended movies for user id 72:
[2025-07-15T22:34:22.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:22.632Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:22.632Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:22.632Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:22.632Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:22.632Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22207.207 ms) ======
[2025-07-15T22:34:22.632Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-15T22:34:23.564Z] GC before operation: completed in 258.554 ms, heap usage 1.333 GB -> 100.652 MB.
[2025-07-15T22:34:26.511Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:29.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:33.504Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:35.408Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:38.356Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:34:40.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:34:42.166Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:34:43.264Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:34:44.194Z] 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.
[2025-07-15T22:34:44.194Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:34:44.194Z] Top recommended movies for user id 72:
[2025-07-15T22:34:44.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:34:44.194Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:34:44.194Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:34:44.194Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:34:44.194Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:34:44.194Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21235.932 ms) ======
[2025-07-15T22:34:44.194Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-15T22:34:45.127Z] GC before operation: completed in 238.741 ms, heap usage 690.404 MB -> 94.961 MB.
[2025-07-15T22:34:48.075Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:34:51.019Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:34:55.923Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:34:57.892Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:34:59.798Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:01.702Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:03.608Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:05.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:05.513Z] 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.
[2025-07-15T22:35:05.513Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:06.460Z] Top recommended movies for user id 72:
[2025-07-15T22:35:06.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:06.460Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:06.460Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:06.460Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:06.460Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:06.460Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21327.550 ms) ======
[2025-07-15T22:35:06.460Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-15T22:35:06.460Z] GC before operation: completed in 197.651 ms, heap usage 927.636 MB -> 99.159 MB.
[2025-07-15T22:35:09.407Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:35:12.350Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:35:16.404Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:35:19.353Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:35:21.257Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:23.166Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:26.111Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:28.021Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:28.021Z] 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.
[2025-07-15T22:35:28.021Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:28.021Z] Top recommended movies for user id 72:
[2025-07-15T22:35:28.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:28.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:28.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:28.021Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:28.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:28.021Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22039.556 ms) ======
[2025-07-15T22:35:28.021Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-15T22:35:28.021Z] GC before operation: completed in 161.357 ms, heap usage 1.137 GB -> 104.204 MB.
[2025-07-15T22:35:32.074Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T22:35:35.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T22:35:37.964Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T22:35:40.911Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T22:35:42.841Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T22:35:44.747Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T22:35:46.659Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T22:35:48.568Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T22:35:49.497Z] 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.
[2025-07-15T22:35:49.497Z] The best model improves the baseline by 14.43%.
[2025-07-15T22:35:49.497Z] Top recommended movies for user id 72:
[2025-07-15T22:35:49.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T22:35:49.497Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T22:35:49.497Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T22:35:49.497Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T22:35:49.497Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T22:35:49.497Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21229.479 ms) ======
[2025-07-15T22:35:51.406Z] -----------------------------------
[2025-07-15T22:35:51.406Z] renaissance-movie-lens_0_PASSED
[2025-07-15T22:35:51.406Z] -----------------------------------
[2025-07-15T22:35:51.406Z]
[2025-07-15T22:35:51.406Z] TEST TEARDOWN:
[2025-07-15T22:35:51.406Z] Nothing to be done for teardown.
[2025-07-15T22:35:51.406Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 22:35:51 2025 Epoch Time (ms): 1752618951132