renaissance-movie-lens_0
[2025-06-12T22:18:39.859Z] Running test renaissance-movie-lens_0 ...
[2025-06-12T22:18:39.859Z] ===============================================
[2025-06-12T22:18:39.859Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 22:18:39 2025 Epoch Time (ms): 1749766719656
[2025-06-12T22:18:39.859Z] variation: NoOptions
[2025-06-12T22:18:39.859Z] JVM_OPTIONS:
[2025-06-12T22:18:39.859Z] { \
[2025-06-12T22:18:39.859Z] echo ""; echo "TEST SETUP:"; \
[2025-06-12T22:18:39.859Z] echo "Nothing to be done for setup."; \
[2025-06-12T22:18:39.859Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17497652986123/renaissance-movie-lens_0"; \
[2025-06-12T22:18:39.859Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17497652986123/renaissance-movie-lens_0"; \
[2025-06-12T22:18:39.859Z] echo ""; echo "TESTING:"; \
[2025-06-12T22:18:39.859Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17497652986123/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-12T22:18:39.859Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17497652986123/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-12T22:18:39.859Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-12T22:18:39.859Z] echo "Nothing to be done for teardown."; \
[2025-06-12T22:18:39.859Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17497652986123/TestTargetResult";
[2025-06-12T22:18:39.859Z]
[2025-06-12T22:18:39.859Z] TEST SETUP:
[2025-06-12T22:18:39.859Z] Nothing to be done for setup.
[2025-06-12T22:18:39.859Z]
[2025-06-12T22:18:39.859Z] TESTING:
[2025-06-12T22:18:40.786Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-12T22:18:40.786Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17497652986123/renaissance-movie-lens_0/launcher-221839-481913738791418693/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-12T22:18:40.786Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-12T22:18:40.786Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-12T22:18:52.093Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-12T22:19:13.042Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-12T22:19:13.042Z] Training: 60056, validation: 20285, test: 19854
[2025-06-12T22:19:13.042Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-12T22:19:13.042Z] GC before operation: completed in 210.415 ms, heap usage 323.996 MB -> 76.463 MB.
[2025-06-12T22:19:21.038Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:19:27.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:19:33.023Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:19:38.352Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:19:41.317Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:19:43.254Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:19:46.217Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:19:49.182Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:19:50.118Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:19:50.118Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:19:50.118Z] Top recommended movies for user id 72:
[2025-06-12T22:19:50.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:19:50.118Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:19:50.118Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:19:50.118Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:19:50.118Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:19:50.118Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (38344.575 ms) ======
[2025-06-12T22:19:50.118Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-12T22:19:50.118Z] GC before operation: completed in 216.245 ms, heap usage 374.067 MB -> 91.521 MB.
[2025-06-12T22:19:54.950Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:19:59.046Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:20:03.125Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:20:07.367Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:20:10.320Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:20:12.235Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:20:15.196Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:20:18.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:20:18.154Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:20:18.154Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:20:18.154Z] Top recommended movies for user id 72:
[2025-06-12T22:20:18.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:20:18.154Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:20:18.154Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:20:18.154Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:20:18.154Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:20:18.154Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28176.864 ms) ======
[2025-06-12T22:20:18.154Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-12T22:20:19.084Z] GC before operation: completed in 229.664 ms, heap usage 148.050 MB -> 90.363 MB.
[2025-06-12T22:20:23.179Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:20:27.242Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:20:31.378Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:20:35.444Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:20:37.355Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:20:39.271Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:20:42.257Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:20:45.237Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:20:45.237Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:20:45.237Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:20:45.237Z] Top recommended movies for user id 72:
[2025-06-12T22:20:45.237Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:20:45.237Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:20:45.237Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:20:45.237Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:20:45.237Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:20:45.237Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26674.768 ms) ======
[2025-06-12T22:20:45.237Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-12T22:20:45.237Z] GC before operation: completed in 279.333 ms, heap usage 1.352 GB -> 96.186 MB.
[2025-06-12T22:20:50.502Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:20:53.452Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:20:57.522Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:21:01.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:21:03.098Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:21:05.030Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:21:07.990Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:21:09.914Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:21:09.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:21:09.914Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:21:10.856Z] Top recommended movies for user id 72:
[2025-06-12T22:21:10.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:21:10.856Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:21:10.856Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:21:10.856Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:21:10.856Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:21:10.856Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24824.451 ms) ======
[2025-06-12T22:21:10.856Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-12T22:21:10.856Z] GC before operation: completed in 192.555 ms, heap usage 1.510 GB -> 96.588 MB.
[2025-06-12T22:21:14.913Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:21:17.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:21:21.961Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:21:24.907Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:21:27.851Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:21:29.767Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:21:32.715Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:21:34.621Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:21:35.548Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:21:35.548Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:21:35.548Z] Top recommended movies for user id 72:
[2025-06-12T22:21:35.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:21:35.548Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:21:35.548Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:21:35.548Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:21:35.548Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:21:35.548Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24904.645 ms) ======
[2025-06-12T22:21:35.548Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-12T22:21:35.548Z] GC before operation: completed in 216.923 ms, heap usage 501.028 MB -> 91.558 MB.
[2025-06-12T22:21:39.603Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:21:42.601Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:21:45.557Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:21:48.506Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:21:50.412Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:21:53.386Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:21:55.315Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:21:57.237Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:21:58.170Z] 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.
[2025-06-12T22:21:58.170Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:21:58.170Z] Top recommended movies for user id 72:
[2025-06-12T22:21:58.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:21:58.170Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:21:58.170Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:21:58.170Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:21:58.170Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:21:58.170Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22249.250 ms) ======
[2025-06-12T22:21:58.170Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-12T22:21:58.170Z] GC before operation: completed in 251.533 ms, heap usage 396.247 MB -> 91.864 MB.
[2025-06-12T22:22:02.391Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:22:06.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:22:08.980Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:22:13.046Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:22:14.957Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:22:17.903Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:22:19.810Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:22:21.786Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:22:22.718Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:22:22.718Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:22:22.718Z] Top recommended movies for user id 72:
[2025-06-12T22:22:22.718Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:22:22.718Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:22:22.718Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:22:22.718Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:22:22.718Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:22:22.718Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24468.314 ms) ======
[2025-06-12T22:22:22.718Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-12T22:22:22.718Z] GC before operation: completed in 184.378 ms, heap usage 386.988 MB -> 91.846 MB.
[2025-06-12T22:22:26.795Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:22:30.873Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:22:33.821Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:22:38.008Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:22:39.917Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:22:41.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:22:44.372Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:22:46.283Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:22:47.211Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:22:47.211Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:22:47.211Z] Top recommended movies for user id 72:
[2025-06-12T22:22:47.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:22:47.212Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:22:47.212Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:22:47.212Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:22:47.212Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:22:47.212Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24329.211 ms) ======
[2025-06-12T22:22:47.212Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-12T22:22:47.212Z] GC before operation: completed in 188.467 ms, heap usage 480.538 MB -> 92.178 MB.
[2025-06-12T22:22:51.269Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:22:54.232Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:22:58.299Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:23:02.431Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:23:04.337Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:23:06.246Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:23:09.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:23:11.187Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:23:11.187Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:23:11.187Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:23:12.114Z] Top recommended movies for user id 72:
[2025-06-12T22:23:12.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:23:12.114Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:23:12.114Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:23:12.114Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:23:12.114Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:23:12.114Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24372.432 ms) ======
[2025-06-12T22:23:12.114Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-12T22:23:12.114Z] GC before operation: completed in 200.833 ms, heap usage 1.030 GB -> 95.776 MB.
[2025-06-12T22:23:16.187Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:23:19.131Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:23:23.186Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:23:26.198Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:23:29.151Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:23:31.058Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:23:32.967Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:23:34.877Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:23:34.877Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:23:34.877Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:23:35.806Z] Top recommended movies for user id 72:
[2025-06-12T22:23:35.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:23:35.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:23:35.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:23:35.806Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:23:35.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:23:35.806Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23513.578 ms) ======
[2025-06-12T22:23:35.806Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-12T22:23:35.806Z] GC before operation: completed in 248.659 ms, heap usage 153.866 MB -> 93.894 MB.
[2025-06-12T22:23:39.861Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:23:42.811Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:23:46.873Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:23:49.843Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:23:51.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:23:54.702Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:23:56.609Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:23:58.518Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:23:59.449Z] 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.
[2025-06-12T22:23:59.449Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:23:59.449Z] Top recommended movies for user id 72:
[2025-06-12T22:23:59.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:23:59.449Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:23:59.450Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:23:59.450Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:23:59.450Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:23:59.450Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23764.569 ms) ======
[2025-06-12T22:23:59.450Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-12T22:23:59.450Z] GC before operation: completed in 259.907 ms, heap usage 269.039 MB -> 91.660 MB.
[2025-06-12T22:24:03.513Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:24:06.467Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:24:11.214Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:24:14.177Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:24:17.129Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:24:19.039Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:24:20.986Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:24:23.930Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:24:23.930Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:24:23.930Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:24:23.930Z] Top recommended movies for user id 72:
[2025-06-12T22:24:23.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:24:23.930Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:24:23.930Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:24:23.930Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:24:23.930Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:24:23.930Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (24568.602 ms) ======
[2025-06-12T22:24:23.930Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-12T22:24:24.858Z] GC before operation: completed in 251.793 ms, heap usage 122.914 MB -> 91.867 MB.
[2025-06-12T22:24:27.806Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:24:31.862Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:24:34.812Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:24:37.761Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:24:40.712Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:24:42.626Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:24:44.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:24:47.494Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:24:47.494Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:24:47.494Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:24:47.494Z] Top recommended movies for user id 72:
[2025-06-12T22:24:47.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:24:47.494Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:24:47.494Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:24:47.494Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:24:47.494Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:24:47.494Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22994.179 ms) ======
[2025-06-12T22:24:47.494Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-12T22:24:47.494Z] GC before operation: completed in 279.329 ms, heap usage 1.035 GB -> 96.041 MB.
[2025-06-12T22:24:51.553Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:24:55.608Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:24:58.556Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:25:02.785Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:25:04.863Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:25:07.812Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:25:10.097Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:25:12.148Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:25:13.077Z] 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.
[2025-06-12T22:25:13.077Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:25:13.077Z] Top recommended movies for user id 72:
[2025-06-12T22:25:13.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:25:13.077Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:25:13.077Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:25:13.077Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:25:13.077Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:25:13.077Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (25216.116 ms) ======
[2025-06-12T22:25:13.077Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-12T22:25:13.077Z] GC before operation: completed in 289.340 ms, heap usage 174.617 MB -> 91.842 MB.
[2025-06-12T22:25:17.213Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:25:21.476Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:25:24.427Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:25:27.378Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:25:30.329Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:25:32.444Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:25:34.352Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:25:36.485Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:25:37.413Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:25:37.413Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:25:37.413Z] Top recommended movies for user id 72:
[2025-06-12T22:25:37.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:25:37.413Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:25:37.413Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:25:37.413Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:25:37.413Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:25:37.413Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23918.117 ms) ======
[2025-06-12T22:25:37.413Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-12T22:25:37.413Z] GC before operation: completed in 216.405 ms, heap usage 249.653 MB -> 92.100 MB.
[2025-06-12T22:25:41.497Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:25:44.585Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:25:48.774Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:25:51.732Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:25:53.643Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:25:55.624Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:25:58.571Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:25:59.499Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:26:00.428Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:26:00.428Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:26:00.428Z] Top recommended movies for user id 72:
[2025-06-12T22:26:00.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:26:00.428Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:26:00.428Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:26:00.428Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:26:00.428Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:26:00.428Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23053.728 ms) ======
[2025-06-12T22:26:00.428Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-12T22:26:01.358Z] GC before operation: completed in 443.866 ms, heap usage 1.171 GB -> 96.424 MB.
[2025-06-12T22:26:04.363Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:26:07.380Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:26:10.343Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:26:14.434Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:26:16.342Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:26:18.248Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:26:21.522Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:26:23.433Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:26:23.433Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:26:23.433Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:26:23.433Z] Top recommended movies for user id 72:
[2025-06-12T22:26:23.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:26:23.433Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:26:23.433Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:26:23.433Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:26:23.433Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:26:23.433Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22655.531 ms) ======
[2025-06-12T22:26:23.433Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-12T22:26:24.364Z] GC before operation: completed in 232.811 ms, heap usage 282.477 MB -> 92.096 MB.
[2025-06-12T22:26:27.315Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:26:31.370Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:26:35.428Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:26:38.414Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:26:40.339Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:26:43.292Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:26:45.264Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:26:47.172Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:26:47.172Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:26:47.172Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:26:47.172Z] Top recommended movies for user id 72:
[2025-06-12T22:26:47.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:26:47.172Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:26:47.172Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:26:47.172Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:26:47.172Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:26:47.172Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23585.628 ms) ======
[2025-06-12T22:26:47.172Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-12T22:26:48.100Z] GC before operation: completed in 289.565 ms, heap usage 1.516 GB -> 97.069 MB.
[2025-06-12T22:26:51.047Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:26:55.105Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:26:58.056Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:27:01.005Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:27:02.917Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:27:04.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:27:06.753Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:27:08.663Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:27:09.595Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:27:09.595Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:27:09.595Z] Top recommended movies for user id 72:
[2025-06-12T22:27:09.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:27:09.595Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:27:09.595Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:27:09.595Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:27:09.595Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:27:09.595Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21865.499 ms) ======
[2025-06-12T22:27:09.595Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-12T22:27:09.595Z] GC before operation: completed in 211.160 ms, heap usage 1.196 GB -> 96.562 MB.
[2025-06-12T22:27:13.660Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-12T22:27:16.611Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-12T22:27:20.820Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-12T22:27:23.770Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-12T22:27:26.365Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-12T22:27:28.274Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-12T22:27:30.184Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-12T22:27:32.094Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-12T22:27:32.094Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-12T22:27:32.094Z] The best model improves the baseline by 14.43%.
[2025-06-12T22:27:32.095Z] Top recommended movies for user id 72:
[2025-06-12T22:27:32.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-12T22:27:32.095Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-12T22:27:32.095Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-12T22:27:32.095Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-12T22:27:32.095Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-12T22:27:32.095Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22615.698 ms) ======
[2025-06-12T22:27:35.040Z] -----------------------------------
[2025-06-12T22:27:35.040Z] renaissance-movie-lens_0_PASSED
[2025-06-12T22:27:35.040Z] -----------------------------------
[2025-06-12T22:27:35.040Z]
[2025-06-12T22:27:35.040Z] TEST TEARDOWN:
[2025-06-12T22:27:35.040Z] Nothing to be done for teardown.
[2025-06-12T22:27:35.040Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 22:27:34 2025 Epoch Time (ms): 1749767254085