renaissance-movie-lens_0
[2025-05-08T02:01:49.820Z] Running test renaissance-movie-lens_0 ...
[2025-05-08T02:01:49.820Z] ===============================================
[2025-05-08T02:01:49.820Z] renaissance-movie-lens_0 Start Time: Thu May 8 02:01:48 2025 Epoch Time (ms): 1746669708661
[2025-05-08T02:01:49.820Z] variation: NoOptions
[2025-05-08T02:01:49.820Z] JVM_OPTIONS:
[2025-05-08T02:01:49.820Z] { \
[2025-05-08T02:01:49.820Z] echo ""; echo "TEST SETUP:"; \
[2025-05-08T02:01:49.820Z] echo "Nothing to be done for setup."; \
[2025-05-08T02:01:49.820Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17466684911316/renaissance-movie-lens_0"; \
[2025-05-08T02:01:49.820Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17466684911316/renaissance-movie-lens_0"; \
[2025-05-08T02:01:49.820Z] echo ""; echo "TESTING:"; \
[2025-05-08T02:01:49.820Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17466684911316/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-08T02:01:49.820Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17466684911316/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-08T02:01:49.820Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-08T02:01:49.820Z] echo "Nothing to be done for teardown."; \
[2025-05-08T02:01:49.820Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17466684911316/TestTargetResult";
[2025-05-08T02:01:49.820Z]
[2025-05-08T02:01:49.820Z] TEST SETUP:
[2025-05-08T02:01:49.820Z] Nothing to be done for setup.
[2025-05-08T02:01:49.820Z]
[2025-05-08T02:01:49.820Z] TESTING:
[2025-05-08T02:01:56.637Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-05-08T02:02:06.468Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-08T02:02:06.468Z] Training: 60056, validation: 20285, test: 19854
[2025-05-08T02:02:06.468Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-08T02:02:06.468Z] GC before operation: completed in 133.591 ms, heap usage 429.713 MB -> 75.849 MB.
[2025-05-08T02:02:12.031Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:02:15.456Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:02:18.853Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:02:22.251Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:02:23.823Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:02:25.402Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:02:27.849Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:02:29.427Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:02:29.427Z] 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.
[2025-05-08T02:02:29.427Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:02:30.192Z] Top recommended movies for user id 72:
[2025-05-08T02:02:30.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:02:30.192Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:02:30.192Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:02:30.192Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:02:30.192Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:02:30.192Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23102.948 ms) ======
[2025-05-08T02:02:30.192Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-08T02:02:30.192Z] GC before operation: completed in 178.732 ms, heap usage 3.009 GB -> 97.905 MB.
[2025-05-08T02:02:32.649Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:02:36.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:02:39.458Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:02:41.902Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:02:43.536Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:02:45.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:02:47.569Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:02:49.141Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:02:49.141Z] 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.
[2025-05-08T02:02:49.141Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:02:49.141Z] Top recommended movies for user id 72:
[2025-05-08T02:02:49.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:02:49.141Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:02:49.141Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:02:49.141Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:02:49.141Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:02:49.141Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19256.836 ms) ======
[2025-05-08T02:02:49.141Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-08T02:02:49.907Z] GC before operation: completed in 170.155 ms, heap usage 2.050 GB -> 98.589 MB.
[2025-05-08T02:02:52.357Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:02:55.743Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:02:59.133Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:03:01.579Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:03:03.151Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:03:05.599Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:03:07.185Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:03:08.756Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:03:08.756Z] 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.
[2025-05-08T02:03:08.756Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:03:09.518Z] Top recommended movies for user id 72:
[2025-05-08T02:03:09.518Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:03:09.518Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:03:09.518Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:03:09.518Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:03:09.518Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:03:09.518Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19752.950 ms) ======
[2025-05-08T02:03:09.518Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-08T02:03:09.518Z] GC before operation: completed in 158.828 ms, heap usage 1.048 GB -> 95.623 MB.
[2025-05-08T02:03:11.974Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:03:15.361Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:03:18.757Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:03:21.206Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:03:22.779Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:03:24.357Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:03:25.942Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:03:27.520Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:03:28.284Z] 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.
[2025-05-08T02:03:28.284Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:03:28.284Z] Top recommended movies for user id 72:
[2025-05-08T02:03:28.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:03:28.284Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:03:28.284Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:03:28.284Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:03:28.284Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:03:28.284Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18893.904 ms) ======
[2025-05-08T02:03:28.284Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-08T02:03:28.284Z] GC before operation: completed in 168.241 ms, heap usage 2.133 GB -> 98.834 MB.
[2025-05-08T02:03:31.672Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:03:34.128Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:03:37.516Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:03:39.966Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:03:41.547Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:03:43.166Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:03:44.739Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:03:46.316Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:03:46.316Z] 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.
[2025-05-08T02:03:46.316Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:03:47.076Z] Top recommended movies for user id 72:
[2025-05-08T02:03:47.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:03:47.076Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:03:47.076Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:03:47.076Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:03:47.076Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:03:47.076Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18260.335 ms) ======
[2025-05-08T02:03:47.076Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-08T02:03:47.076Z] GC before operation: completed in 185.809 ms, heap usage 2.471 GB -> 100.898 MB.
[2025-05-08T02:03:49.520Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:03:52.913Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:03:55.357Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:03:57.815Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:04:00.263Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:04:01.849Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:04:03.427Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:04:05.022Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:04:05.022Z] 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.
[2025-05-08T02:04:05.022Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:04:05.022Z] Top recommended movies for user id 72:
[2025-05-08T02:04:05.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:04:05.022Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:04:05.022Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:04:05.022Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:04:05.022Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:04:05.022Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18349.722 ms) ======
[2025-05-08T02:04:05.022Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-08T02:04:05.783Z] GC before operation: completed in 177.576 ms, heap usage 2.672 GB -> 101.283 MB.
[2025-05-08T02:04:08.226Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:04:11.617Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:04:14.068Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:04:16.521Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:04:18.097Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:04:19.684Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:04:22.128Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:04:23.700Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:04:23.700Z] 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.
[2025-05-08T02:04:23.700Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:04:24.462Z] Top recommended movies for user id 72:
[2025-05-08T02:04:24.462Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:04:24.462Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:04:24.462Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:04:24.462Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:04:24.462Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:04:24.462Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18681.010 ms) ======
[2025-05-08T02:04:24.462Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-08T02:04:24.462Z] GC before operation: completed in 163.464 ms, heap usage 255.440 MB -> 93.864 MB.
[2025-05-08T02:04:27.874Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:04:30.330Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:04:33.718Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:04:36.175Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:04:37.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:04:39.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:04:40.895Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:04:42.741Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:04:44.077Z] 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.
[2025-05-08T02:04:44.077Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:04:44.077Z] Top recommended movies for user id 72:
[2025-05-08T02:04:44.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:04:44.077Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:04:44.077Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:04:44.077Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:04:44.077Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:04:44.077Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18832.088 ms) ======
[2025-05-08T02:04:44.077Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-08T02:04:44.077Z] GC before operation: completed in 180.746 ms, heap usage 1.845 GB -> 101.347 MB.
[2025-05-08T02:04:46.015Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:04:49.454Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:04:51.905Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:04:55.296Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:04:56.869Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:04:58.445Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:05:00.035Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:05:01.615Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:05:02.377Z] 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.
[2025-05-08T02:05:02.377Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:05:02.377Z] Top recommended movies for user id 72:
[2025-05-08T02:05:02.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:05:02.377Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:05:02.377Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:05:02.377Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:05:02.377Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:05:02.377Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19153.625 ms) ======
[2025-05-08T02:05:02.377Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-08T02:05:02.377Z] GC before operation: completed in 169.408 ms, heap usage 2.701 GB -> 99.826 MB.
[2025-05-08T02:05:05.776Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:05:09.180Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:05:11.641Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:05:15.045Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:05:16.622Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:05:18.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:05:20.643Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:05:22.259Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:05:22.259Z] 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.
[2025-05-08T02:05:22.259Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:05:22.259Z] Top recommended movies for user id 72:
[2025-05-08T02:05:22.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:05:22.259Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:05:22.259Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:05:22.259Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:05:22.259Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:05:22.259Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19658.323 ms) ======
[2025-05-08T02:05:22.259Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-08T02:05:22.259Z] GC before operation: completed in 170.841 ms, heap usage 1010.468 MB -> 97.802 MB.
[2025-05-08T02:05:25.654Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:05:28.115Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:05:31.505Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:05:33.964Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:05:35.551Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:05:37.141Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:05:38.716Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:05:40.291Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:05:40.291Z] 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.
[2025-05-08T02:05:40.291Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:05:41.056Z] Top recommended movies for user id 72:
[2025-05-08T02:05:41.056Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:05:41.056Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:05:41.056Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:05:41.056Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:05:41.056Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:05:41.056Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18285.085 ms) ======
[2025-05-08T02:05:41.057Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-08T02:05:41.057Z] GC before operation: completed in 187.540 ms, heap usage 1.479 GB -> 99.999 MB.
[2025-05-08T02:05:43.591Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:05:46.978Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:05:49.745Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:05:52.195Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:05:54.641Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:05:56.213Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:05:57.801Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:05:59.384Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:05:59.384Z] 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.
[2025-05-08T02:05:59.384Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:05:59.384Z] Top recommended movies for user id 72:
[2025-05-08T02:05:59.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:05:59.384Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:05:59.384Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:05:59.384Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:05:59.384Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:05:59.384Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18752.116 ms) ======
[2025-05-08T02:05:59.384Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-08T02:06:00.145Z] GC before operation: completed in 168.486 ms, heap usage 1.446 GB -> 96.928 MB.
[2025-05-08T02:06:03.539Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:06:05.990Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:06:09.399Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:06:11.848Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:06:13.420Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:06:14.992Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:06:17.444Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:06:19.018Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:06:19.018Z] 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.
[2025-05-08T02:06:19.018Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:06:19.018Z] Top recommended movies for user id 72:
[2025-05-08T02:06:19.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:06:19.018Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:06:19.018Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:06:19.018Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:06:19.018Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:06:19.018Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19475.597 ms) ======
[2025-05-08T02:06:19.018Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-08T02:06:19.778Z] GC before operation: completed in 156.220 ms, heap usage 131.451 MB -> 92.899 MB.
[2025-05-08T02:06:23.171Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:06:25.615Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:06:29.018Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:06:31.475Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:06:33.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:06:34.814Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:06:36.390Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:06:38.861Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:06:38.861Z] 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.
[2025-05-08T02:06:38.861Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:06:38.861Z] Top recommended movies for user id 72:
[2025-05-08T02:06:38.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:06:38.861Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:06:38.861Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:06:38.861Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:06:38.861Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:06:38.861Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19534.714 ms) ======
[2025-05-08T02:06:38.861Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-08T02:06:38.861Z] GC before operation: completed in 165.548 ms, heap usage 123.332 MB -> 93.871 MB.
[2025-05-08T02:06:42.253Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:06:45.822Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:06:48.280Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:06:51.676Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:06:53.320Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:06:54.893Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:06:56.705Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:06:58.278Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:06:59.043Z] 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.
[2025-05-08T02:06:59.043Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:06:59.043Z] Top recommended movies for user id 72:
[2025-05-08T02:06:59.043Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:06:59.043Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:06:59.043Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:06:59.043Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:06:59.043Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:06:59.043Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19653.238 ms) ======
[2025-05-08T02:06:59.043Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-08T02:06:59.043Z] GC before operation: completed in 162.689 ms, heap usage 113.368 MB -> 92.271 MB.
[2025-05-08T02:07:02.453Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:07:04.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:07:08.286Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:07:10.732Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:07:12.304Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:07:13.878Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:07:16.325Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:07:17.898Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:07:17.898Z] 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.
[2025-05-08T02:07:17.898Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:07:17.898Z] Top recommended movies for user id 72:
[2025-05-08T02:07:17.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:07:17.898Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:07:17.898Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:07:17.898Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:07:17.898Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:07:17.898Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18986.687 ms) ======
[2025-05-08T02:07:17.898Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-08T02:07:17.898Z] GC before operation: completed in 179.587 ms, heap usage 1.564 GB -> 100.909 MB.
[2025-05-08T02:07:21.285Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:07:23.730Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:07:27.122Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:07:29.569Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:07:31.142Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:07:33.600Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:07:35.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:07:36.748Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:07:36.748Z] 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.
[2025-05-08T02:07:36.748Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:07:37.509Z] Top recommended movies for user id 72:
[2025-05-08T02:07:37.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:07:37.509Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:07:37.509Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:07:37.509Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:07:37.509Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:07:37.509Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18973.033 ms) ======
[2025-05-08T02:07:37.509Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-08T02:07:37.509Z] GC before operation: completed in 164.168 ms, heap usage 414.535 MB -> 92.127 MB.
[2025-05-08T02:07:40.910Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:07:43.421Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:07:46.827Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:07:49.288Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:07:50.863Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:07:52.449Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:07:54.036Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:07:55.607Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:07:56.367Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-08T02:07:56.367Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:07:56.367Z] Top recommended movies for user id 72:
[2025-05-08T02:07:56.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:07:56.367Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:07:56.367Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:07:56.367Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:07:56.367Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:07:56.367Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18891.775 ms) ======
[2025-05-08T02:07:56.367Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-08T02:07:56.367Z] GC before operation: completed in 186.992 ms, heap usage 2.871 GB -> 98.380 MB.
[2025-05-08T02:07:59.767Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:08:02.429Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:08:05.823Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:08:08.283Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:08:09.864Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:08:11.438Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:08:13.013Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:08:14.605Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:08:14.606Z] 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.
[2025-05-08T02:08:14.606Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:08:15.387Z] Top recommended movies for user id 72:
[2025-05-08T02:08:15.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:08:15.387Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:08:15.387Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:08:15.387Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:08:15.387Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:08:15.387Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18729.558 ms) ======
[2025-05-08T02:08:15.387Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-08T02:08:15.387Z] GC before operation: completed in 167.855 ms, heap usage 990.587 MB -> 97.781 MB.
[2025-05-08T02:08:18.789Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-08T02:08:21.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-08T02:08:24.651Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-08T02:08:27.106Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-08T02:08:28.700Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-08T02:08:30.291Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-08T02:08:31.862Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-08T02:08:33.442Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-08T02:08:33.442Z] 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.
[2025-05-08T02:08:33.442Z] The best model improves the baseline by 14.43%.
[2025-05-08T02:08:34.202Z] Top recommended movies for user id 72:
[2025-05-08T02:08:34.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-08T02:08:34.202Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-08T02:08:34.202Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-08T02:08:34.202Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-08T02:08:34.202Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-08T02:08:34.202Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18528.577 ms) ======
[2025-05-08T02:08:34.202Z] -----------------------------------
[2025-05-08T02:08:34.202Z] renaissance-movie-lens_0_PASSED
[2025-05-08T02:08:34.202Z] -----------------------------------
[2025-05-08T02:08:34.202Z]
[2025-05-08T02:08:34.202Z] TEST TEARDOWN:
[2025-05-08T02:08:34.202Z] Nothing to be done for teardown.
[2025-05-08T02:08:34.202Z] renaissance-movie-lens_0 Finish Time: Thu May 8 02:08:33 2025 Epoch Time (ms): 1746670113898