renaissance-movie-lens_0
[2025-05-28T21:10:04.267Z] Running test renaissance-movie-lens_0 ...
[2025-05-28T21:10:04.267Z] ===============================================
[2025-05-28T21:10:04.267Z] renaissance-movie-lens_0 Start Time: Wed May 28 21:10:03 2025 Epoch Time (ms): 1748466603475
[2025-05-28T21:10:04.267Z] variation: NoOptions
[2025-05-28T21:10:04.267Z] JVM_OPTIONS:
[2025-05-28T21:10:04.267Z] { \
[2025-05-28T21:10:04.267Z] echo ""; echo "TEST SETUP:"; \
[2025-05-28T21:10:04.267Z] echo "Nothing to be done for setup."; \
[2025-05-28T21:10:04.267Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17484652381328/renaissance-movie-lens_0"; \
[2025-05-28T21:10:04.267Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17484652381328/renaissance-movie-lens_0"; \
[2025-05-28T21:10:04.267Z] echo ""; echo "TESTING:"; \
[2025-05-28T21:10:04.267Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17484652381328/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-28T21:10:04.267Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17484652381328/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-28T21:10:04.267Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-28T21:10:04.267Z] echo "Nothing to be done for teardown."; \
[2025-05-28T21:10:04.267Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17484652381328/TestTargetResult";
[2025-05-28T21:10:04.267Z]
[2025-05-28T21:10:04.267Z] TEST SETUP:
[2025-05-28T21:10:04.267Z] Nothing to be done for setup.
[2025-05-28T21:10:04.267Z]
[2025-05-28T21:10:04.267Z] TESTING:
[2025-05-28T21:10:12.349Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-28T21:10:25.750Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-28T21:10:26.692Z] Training: 60056, validation: 20285, test: 19854
[2025-05-28T21:10:26.692Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-28T21:10:26.692Z] GC before operation: completed in 123.931 ms, heap usage 222.432 MB -> 77.406 MB.
[2025-05-28T21:10:36.359Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:10:41.689Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:10:47.012Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:10:51.160Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:10:53.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:10:56.113Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:10:59.505Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:11:01.449Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:11:01.449Z] 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.
[2025-05-28T21:11:01.449Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:11:02.390Z] Top recommended movies for user id 72:
[2025-05-28T21:11:02.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:11:02.390Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:11:02.390Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:11:02.390Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:11:02.390Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:11:02.390Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (35500.373 ms) ======
[2025-05-28T21:11:02.390Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-28T21:11:02.390Z] GC before operation: completed in 187.904 ms, heap usage 1.631 GB -> 101.497 MB.
[2025-05-28T21:11:06.544Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:11:10.676Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:11:14.786Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:11:17.772Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:11:20.769Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:11:22.712Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:11:24.645Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:11:27.669Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:11:27.669Z] 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.
[2025-05-28T21:11:27.669Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:11:27.669Z] Top recommended movies for user id 72:
[2025-05-28T21:11:27.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:11:27.669Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:11:27.669Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:11:27.669Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:11:27.669Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:11:27.669Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25629.339 ms) ======
[2025-05-28T21:11:27.669Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-28T21:11:28.611Z] GC before operation: completed in 268.098 ms, heap usage 829.569 MB -> 98.887 MB.
[2025-05-28T21:11:31.596Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:11:35.707Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:11:38.695Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:11:41.688Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:11:43.621Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:11:45.584Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:11:47.519Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:11:49.458Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:11:49.458Z] 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.
[2025-05-28T21:11:49.458Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:11:49.458Z] Top recommended movies for user id 72:
[2025-05-28T21:11:49.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:11:49.458Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:11:49.458Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:11:49.458Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:11:49.458Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:11:49.458Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21564.480 ms) ======
[2025-05-28T21:11:49.458Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-28T21:11:49.458Z] GC before operation: completed in 145.645 ms, heap usage 595.170 MB -> 95.287 MB.
[2025-05-28T21:11:53.646Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:11:56.640Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:12:00.796Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:12:03.787Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:12:05.722Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:12:07.657Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:12:09.286Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:12:11.227Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:12:12.170Z] 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.
[2025-05-28T21:12:12.170Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:12:12.170Z] Top recommended movies for user id 72:
[2025-05-28T21:12:12.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:12:12.170Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:12:12.170Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:12:12.170Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:12:12.170Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:12:12.170Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22142.776 ms) ======
[2025-05-28T21:12:12.170Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-28T21:12:12.170Z] GC before operation: completed in 159.421 ms, heap usage 640.458 MB -> 98.118 MB.
[2025-05-28T21:12:16.285Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:12:19.274Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:12:22.262Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:12:25.255Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:12:27.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:12:29.325Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:12:31.259Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:12:33.195Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:12:33.195Z] 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.
[2025-05-28T21:12:33.195Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:12:33.195Z] Top recommended movies for user id 72:
[2025-05-28T21:12:33.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:12:33.195Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:12:33.195Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:12:33.195Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:12:33.195Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:12:33.195Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21133.405 ms) ======
[2025-05-28T21:12:33.195Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-28T21:12:33.195Z] GC before operation: completed in 152.481 ms, heap usage 1.542 GB -> 99.617 MB.
[2025-05-28T21:12:37.304Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:12:40.295Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:12:43.278Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:12:46.269Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:12:48.209Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:12:51.203Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:12:53.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:12:55.117Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:12:55.117Z] 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.
[2025-05-28T21:12:56.064Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:12:56.064Z] Top recommended movies for user id 72:
[2025-05-28T21:12:56.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:12:56.064Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:12:56.064Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:12:56.064Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:12:56.064Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:12:56.064Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22376.812 ms) ======
[2025-05-28T21:12:56.064Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-28T21:12:56.064Z] GC before operation: completed in 225.238 ms, heap usage 216.149 MB -> 94.705 MB.
[2025-05-28T21:12:59.053Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:13:03.181Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:13:06.192Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:13:09.183Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:13:11.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:13:13.050Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:13:14.986Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:13:17.612Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:13:17.612Z] 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.
[2025-05-28T21:13:17.612Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:13:18.561Z] Top recommended movies for user id 72:
[2025-05-28T21:13:18.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:13:18.561Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:13:18.561Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:13:18.561Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:13:18.561Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:13:18.561Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21450.860 ms) ======
[2025-05-28T21:13:18.561Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-28T21:13:18.561Z] GC before operation: completed in 192.157 ms, heap usage 884.023 MB -> 98.951 MB.
[2025-05-28T21:13:21.557Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:13:24.552Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:13:27.540Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:13:30.529Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:13:32.486Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:13:35.474Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:13:37.491Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:13:39.427Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:13:39.427Z] 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.
[2025-05-28T21:13:40.382Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:13:40.382Z] Top recommended movies for user id 72:
[2025-05-28T21:13:40.382Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:13:40.382Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:13:40.382Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:13:40.382Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:13:40.382Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:13:40.382Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22483.792 ms) ======
[2025-05-28T21:13:40.382Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-28T21:13:40.382Z] GC before operation: completed in 159.749 ms, heap usage 291.017 MB -> 96.787 MB.
[2025-05-28T21:13:43.367Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:13:47.582Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:13:50.569Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:13:54.716Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:13:56.659Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:13:58.594Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:14:00.548Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:14:02.494Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:14:03.458Z] 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.
[2025-05-28T21:14:03.458Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:14:03.458Z] Top recommended movies for user id 72:
[2025-05-28T21:14:03.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:14:03.458Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:14:03.458Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:14:03.458Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:14:03.458Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:14:03.458Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23197.248 ms) ======
[2025-05-28T21:14:03.458Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-28T21:14:03.458Z] GC before operation: completed in 208.857 ms, heap usage 1.243 GB -> 100.444 MB.
[2025-05-28T21:14:07.571Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:14:11.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:14:14.885Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:14:17.898Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:14:19.881Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:14:21.816Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:14:23.751Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:14:26.753Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:14:26.754Z] 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.
[2025-05-28T21:14:26.754Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:14:26.754Z] Top recommended movies for user id 72:
[2025-05-28T21:14:26.754Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:14:26.754Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:14:26.754Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:14:26.754Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:14:26.754Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:14:26.754Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23376.133 ms) ======
[2025-05-28T21:14:26.754Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-28T21:14:28.406Z] GC before operation: completed in 168.396 ms, heap usage 229.087 MB -> 96.769 MB.
[2025-05-28T21:14:30.345Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:14:34.459Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:14:37.482Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:14:40.506Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:14:43.509Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:14:46.512Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:14:48.461Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:14:50.412Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:14:50.412Z] 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.
[2025-05-28T21:14:50.412Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:14:50.412Z] Top recommended movies for user id 72:
[2025-05-28T21:14:50.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:14:50.412Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:14:50.412Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:14:50.412Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:14:50.412Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:14:50.412Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23496.405 ms) ======
[2025-05-28T21:14:50.412Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-28T21:14:51.363Z] GC before operation: completed in 243.926 ms, heap usage 685.015 MB -> 94.540 MB.
[2025-05-28T21:14:55.507Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:14:58.500Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:15:01.532Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:15:04.529Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:15:06.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:15:08.441Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:15:10.379Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:15:12.332Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:15:13.284Z] 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.
[2025-05-28T21:15:13.284Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:15:13.284Z] Top recommended movies for user id 72:
[2025-05-28T21:15:13.284Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:15:13.284Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:15:13.284Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:15:13.284Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:15:13.284Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:15:13.284Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22258.242 ms) ======
[2025-05-28T21:15:13.284Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-28T21:15:13.284Z] GC before operation: completed in 155.112 ms, heap usage 1.207 GB -> 97.807 MB.
[2025-05-28T21:15:16.300Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:15:19.558Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:15:22.557Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:15:25.553Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:15:27.491Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:15:29.430Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:15:32.463Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:15:33.406Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:15:34.349Z] 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.
[2025-05-28T21:15:34.349Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:15:34.349Z] Top recommended movies for user id 72:
[2025-05-28T21:15:34.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:15:34.349Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:15:34.349Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:15:34.349Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:15:34.349Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:15:34.349Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20863.963 ms) ======
[2025-05-28T21:15:34.349Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-28T21:15:34.349Z] GC before operation: completed in 278.644 ms, heap usage 329.031 MB -> 93.434 MB.
[2025-05-28T21:15:39.212Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:15:42.245Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:15:46.364Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:15:49.360Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:15:51.299Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:15:54.292Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:15:56.240Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:15:58.176Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:15:58.176Z] 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.
[2025-05-28T21:15:58.176Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:15:58.176Z] Top recommended movies for user id 72:
[2025-05-28T21:15:58.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:15:58.177Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:15:58.177Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:15:58.177Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:15:58.177Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:15:58.177Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23890.912 ms) ======
[2025-05-28T21:15:58.177Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-28T21:15:59.165Z] GC before operation: completed in 214.986 ms, heap usage 308.211 MB -> 96.795 MB.
[2025-05-28T21:16:02.156Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:16:06.270Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:16:09.264Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:16:12.255Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:16:14.195Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:16:16.136Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:16:18.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:16:20.007Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:16:20.950Z] 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.
[2025-05-28T21:16:20.950Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:16:20.950Z] Top recommended movies for user id 72:
[2025-05-28T21:16:20.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:16:20.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:16:20.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:16:20.950Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:16:20.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:16:20.950Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22269.628 ms) ======
[2025-05-28T21:16:20.950Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-28T21:16:20.950Z] GC before operation: completed in 256.497 ms, heap usage 1.299 GB -> 99.638 MB.
[2025-05-28T21:16:25.087Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:16:29.203Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:16:32.206Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:16:35.196Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:16:38.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:16:39.126Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:16:42.137Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:16:44.078Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:16:44.078Z] 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.
[2025-05-28T21:16:44.078Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:16:44.078Z] Top recommended movies for user id 72:
[2025-05-28T21:16:44.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:16:44.078Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:16:44.078Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:16:44.078Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:16:44.078Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:16:44.078Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22885.238 ms) ======
[2025-05-28T21:16:44.078Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-28T21:16:44.078Z] GC before operation: completed in 292.835 ms, heap usage 300.646 MB -> 93.368 MB.
[2025-05-28T21:16:48.908Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:16:50.851Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:16:53.851Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:16:57.969Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:16:58.915Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:17:01.896Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:17:03.830Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:17:05.762Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:17:05.762Z] 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.
[2025-05-28T21:17:05.762Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:17:05.762Z] Top recommended movies for user id 72:
[2025-05-28T21:17:05.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:17:05.762Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:17:05.762Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:17:05.762Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:17:05.762Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:17:05.762Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21476.934 ms) ======
[2025-05-28T21:17:05.762Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-28T21:17:05.762Z] GC before operation: completed in 292.120 ms, heap usage 1.034 GB -> 97.563 MB.
[2025-05-28T21:17:09.880Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:17:12.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:17:15.864Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:17:20.038Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:17:21.972Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:17:23.912Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:17:25.844Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:17:27.952Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:17:27.952Z] 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.
[2025-05-28T21:17:27.952Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:17:27.952Z] Top recommended movies for user id 72:
[2025-05-28T21:17:27.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:17:27.952Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:17:27.952Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:17:27.952Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:17:27.952Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:17:27.952Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22107.559 ms) ======
[2025-05-28T21:17:27.952Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-28T21:17:28.893Z] GC before operation: completed in 202.308 ms, heap usage 378.792 MB -> 93.340 MB.
[2025-05-28T21:17:31.879Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:17:35.994Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:17:40.159Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:17:43.144Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:17:45.082Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:17:47.089Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:17:49.028Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:17:52.010Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:17:52.010Z] 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.
[2025-05-28T21:17:52.010Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:17:52.010Z] Top recommended movies for user id 72:
[2025-05-28T21:17:52.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:17:52.010Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:17:52.010Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:17:52.010Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:17:52.010Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:17:52.010Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23590.955 ms) ======
[2025-05-28T21:17:52.010Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-28T21:17:52.010Z] GC before operation: completed in 323.861 ms, heap usage 679.681 MB -> 98.044 MB.
[2025-05-28T21:17:56.879Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:17:59.867Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:18:02.851Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:18:06.955Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:18:08.889Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:18:10.827Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:18:12.761Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:18:15.748Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:18:15.748Z] 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.
[2025-05-28T21:18:15.748Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:18:15.748Z] Top recommended movies for user id 72:
[2025-05-28T21:18:15.748Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:18:15.748Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:18:15.748Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:18:15.748Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:18:15.748Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:18:15.748Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23524.544 ms) ======
[2025-05-28T21:18:18.729Z] -----------------------------------
[2025-05-28T21:18:18.729Z] renaissance-movie-lens_0_PASSED
[2025-05-28T21:18:18.729Z] -----------------------------------
[2025-05-28T21:18:18.729Z]
[2025-05-28T21:18:18.729Z] TEST TEARDOWN:
[2025-05-28T21:18:18.729Z] Nothing to be done for teardown.
[2025-05-28T21:18:18.729Z] renaissance-movie-lens_0 Finish Time: Wed May 28 21:18:17 2025 Epoch Time (ms): 1748467097761