renaissance-movie-lens_0
[2025-06-26T22:26:07.330Z] Running test renaissance-movie-lens_0 ...
[2025-06-26T22:26:07.330Z] ===============================================
[2025-06-26T22:26:07.330Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 22:26:06 2025 Epoch Time (ms): 1750976766487
[2025-06-26T22:26:07.330Z] variation: NoOptions
[2025-06-26T22:26:07.330Z] JVM_OPTIONS:
[2025-06-26T22:26:07.330Z] { \
[2025-06-26T22:26:07.330Z] echo ""; echo "TEST SETUP:"; \
[2025-06-26T22:26:07.330Z] echo "Nothing to be done for setup."; \
[2025-06-26T22:26:07.330Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509754695371/renaissance-movie-lens_0"; \
[2025-06-26T22:26:07.330Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509754695371/renaissance-movie-lens_0"; \
[2025-06-26T22:26:07.330Z] echo ""; echo "TESTING:"; \
[2025-06-26T22:26:07.330Z] "/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_17509754695371/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-26T22:26:07.330Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509754695371/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-26T22:26:07.330Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-26T22:26:07.330Z] echo "Nothing to be done for teardown."; \
[2025-06-26T22:26:07.330Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509754695371/TestTargetResult";
[2025-06-26T22:26:07.330Z]
[2025-06-26T22:26:07.330Z] TEST SETUP:
[2025-06-26T22:26:07.330Z] Nothing to be done for setup.
[2025-06-26T22:26:07.330Z]
[2025-06-26T22:26:07.330Z] TESTING:
[2025-06-26T22:26:07.330Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-26T22:26:07.330Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17509754695371/renaissance-movie-lens_0/launcher-222606-17309111782486451161/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-26T22:26:07.330Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-26T22:26:07.330Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-26T22:26:16.890Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-26T22:26:28.125Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-26T22:26:28.125Z] Training: 60056, validation: 20285, test: 19854
[2025-06-26T22:26:28.125Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-26T22:26:28.125Z] GC before operation: completed in 119.232 ms, heap usage 408.031 MB -> 76.468 MB.
[2025-06-26T22:26:36.060Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:26:41.277Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:26:45.342Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:26:48.267Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:26:50.172Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:26:53.093Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:26:54.986Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:26:56.883Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:26:56.883Z] 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.
[2025-06-26T22:26:56.883Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:26:56.883Z] Top recommended movies for user id 72:
[2025-06-26T22:26:56.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:26:56.883Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:26:56.883Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:26:56.883Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:26:56.883Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:26:56.883Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29457.516 ms) ======
[2025-06-26T22:26:56.883Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-26T22:26:57.804Z] GC before operation: completed in 240.539 ms, heap usage 1.037 GB -> 103.673 MB.
[2025-06-26T22:27:00.743Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:27:04.796Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:27:07.738Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:27:11.779Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:27:13.682Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:27:16.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:27:18.733Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:27:20.180Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:27:21.124Z] 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.
[2025-06-26T22:27:21.124Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:27:21.124Z] Top recommended movies for user id 72:
[2025-06-26T22:27:21.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:27:21.124Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:27:21.124Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:27:21.124Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:27:21.124Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:27:21.124Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23434.282 ms) ======
[2025-06-26T22:27:21.124Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-26T22:27:21.124Z] GC before operation: completed in 168.968 ms, heap usage 384.370 MB -> 90.654 MB.
[2025-06-26T22:27:24.068Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:27:28.099Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:27:32.135Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:27:35.060Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:27:36.953Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:27:39.878Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:27:41.776Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:27:43.673Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:27:43.673Z] 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.
[2025-06-26T22:27:43.673Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:27:43.673Z] Top recommended movies for user id 72:
[2025-06-26T22:27:43.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:27:43.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:27:43.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:27:43.673Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:27:43.673Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:27:43.673Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22904.639 ms) ======
[2025-06-26T22:27:43.673Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-26T22:27:44.593Z] GC before operation: completed in 179.320 ms, heap usage 480.932 MB -> 91.583 MB.
[2025-06-26T22:27:47.551Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:27:50.481Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:27:54.512Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:27:57.440Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:27:59.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:28:01.391Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:28:03.282Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:28:05.181Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:28:06.103Z] 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.
[2025-06-26T22:28:06.103Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:28:06.103Z] Top recommended movies for user id 72:
[2025-06-26T22:28:06.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:28:06.103Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:28:06.103Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:28:06.103Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:28:06.103Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:28:06.103Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21772.966 ms) ======
[2025-06-26T22:28:06.103Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-26T22:28:06.103Z] GC before operation: completed in 196.565 ms, heap usage 292.455 MB -> 91.659 MB.
[2025-06-26T22:28:09.026Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:28:11.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:28:14.890Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:28:18.929Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:28:19.850Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:28:22.816Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:28:23.898Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:28:25.789Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:28:26.711Z] 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.
[2025-06-26T22:28:26.711Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:28:26.711Z] Top recommended movies for user id 72:
[2025-06-26T22:28:26.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:28:26.711Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:28:26.711Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:28:26.711Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:28:26.711Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:28:26.711Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20594.098 ms) ======
[2025-06-26T22:28:26.711Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-26T22:28:26.711Z] GC before operation: completed in 178.249 ms, heap usage 1.448 GB -> 96.666 MB.
[2025-06-26T22:28:30.750Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:28:33.683Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:28:36.653Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:28:39.587Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:28:41.488Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:28:45.132Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:28:46.056Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:28:47.952Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:28:47.952Z] 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.
[2025-06-26T22:28:47.952Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:28:48.874Z] Top recommended movies for user id 72:
[2025-06-26T22:28:48.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:28:48.874Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:28:48.874Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:28:48.874Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:28:48.874Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:28:48.874Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21609.457 ms) ======
[2025-06-26T22:28:48.874Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-26T22:28:48.874Z] GC before operation: completed in 166.106 ms, heap usage 144.279 MB -> 91.864 MB.
[2025-06-26T22:28:51.810Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:28:54.730Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:28:57.652Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:29:00.598Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:29:02.490Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:29:04.383Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:29:06.274Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:29:08.194Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:29:08.194Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-26T22:29:08.194Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:29:09.119Z] Top recommended movies for user id 72:
[2025-06-26T22:29:09.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:29:09.119Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:29:09.119Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:29:09.119Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:29:09.119Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:29:09.119Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19953.525 ms) ======
[2025-06-26T22:29:09.119Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-26T22:29:09.119Z] GC before operation: completed in 204.679 ms, heap usage 1.314 GB -> 96.635 MB.
[2025-06-26T22:29:12.040Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:29:16.068Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:29:18.989Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:29:21.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:29:23.884Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:29:25.779Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:29:27.671Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:29:29.568Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:29:29.568Z] 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.
[2025-06-26T22:29:29.568Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:29:30.490Z] Top recommended movies for user id 72:
[2025-06-26T22:29:30.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:29:30.490Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:29:30.490Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:29:30.490Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:29:30.490Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:29:30.490Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21289.061 ms) ======
[2025-06-26T22:29:30.490Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-26T22:29:30.490Z] GC before operation: completed in 166.127 ms, heap usage 186.882 MB -> 91.941 MB.
[2025-06-26T22:29:33.583Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:29:36.514Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:29:39.437Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:29:43.466Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:29:45.359Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:29:47.254Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:29:49.146Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:29:51.070Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:29:51.998Z] 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.
[2025-06-26T22:29:51.998Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:29:51.998Z] Top recommended movies for user id 72:
[2025-06-26T22:29:51.998Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:29:51.998Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:29:51.998Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:29:51.998Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:29:51.998Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:29:51.998Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21482.084 ms) ======
[2025-06-26T22:29:51.998Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-26T22:29:51.998Z] GC before operation: completed in 240.183 ms, heap usage 1.216 GB -> 96.607 MB.
[2025-06-26T22:29:54.926Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:29:57.851Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:30:00.778Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:30:03.832Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:30:05.732Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:30:07.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:30:09.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:30:11.429Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:30:13.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-26T22:30:13.050Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:30:13.050Z] Top recommended movies for user id 72:
[2025-06-26T22:30:13.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:30:13.050Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:30:13.050Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:30:13.050Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:30:13.050Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:30:13.050Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20212.230 ms) ======
[2025-06-26T22:30:13.050Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-26T22:30:13.050Z] GC before operation: completed in 172.585 ms, heap usage 691.666 MB -> 92.567 MB.
[2025-06-26T22:30:15.984Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:30:18.913Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:30:21.833Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:30:24.780Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:30:26.670Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:30:29.596Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:30:31.509Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:30:33.403Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:30:34.328Z] 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.
[2025-06-26T22:30:34.328Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:30:34.328Z] Top recommended movies for user id 72:
[2025-06-26T22:30:34.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:30:34.328Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:30:34.328Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:30:34.328Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:30:34.328Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:30:34.328Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21635.892 ms) ======
[2025-06-26T22:30:34.328Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-26T22:30:34.328Z] GC before operation: completed in 154.847 ms, heap usage 325.464 MB -> 91.929 MB.
[2025-06-26T22:30:37.266Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:30:40.204Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:30:44.261Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:30:47.188Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:30:49.078Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:30:50.972Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:30:53.901Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:30:55.803Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:30:55.803Z] 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.
[2025-06-26T22:30:55.803Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:30:55.803Z] Top recommended movies for user id 72:
[2025-06-26T22:30:55.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:30:55.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:30:55.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:30:55.803Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:30:55.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:30:55.803Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21978.983 ms) ======
[2025-06-26T22:30:55.803Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-26T22:30:56.727Z] GC before operation: completed in 168.300 ms, heap usage 299.572 MB -> 92.159 MB.
[2025-06-26T22:30:59.692Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:31:02.616Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:31:06.644Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:31:09.571Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:31:11.472Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:31:13.417Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:31:15.341Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:31:17.241Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:31:18.176Z] 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.
[2025-06-26T22:31:18.176Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:31:18.176Z] Top recommended movies for user id 72:
[2025-06-26T22:31:18.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:31:18.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:31:18.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:31:18.176Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:31:18.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:31:18.176Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21840.031 ms) ======
[2025-06-26T22:31:18.176Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-26T22:31:18.176Z] GC before operation: completed in 233.261 ms, heap usage 868.362 MB -> 96.118 MB.
[2025-06-26T22:31:22.265Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:31:25.208Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:31:28.135Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:31:31.066Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:31:32.963Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:31:34.895Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:31:36.791Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:31:39.565Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:31:39.566Z] 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.
[2025-06-26T22:31:39.566Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:31:39.566Z] Top recommended movies for user id 72:
[2025-06-26T22:31:39.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:31:39.566Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:31:39.566Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:31:39.566Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:31:39.566Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:31:39.566Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21092.331 ms) ======
[2025-06-26T22:31:39.566Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-26T22:31:39.566Z] GC before operation: completed in 163.885 ms, heap usage 661.034 MB -> 92.423 MB.
[2025-06-26T22:31:43.597Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:31:46.521Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:31:49.446Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:31:52.387Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:31:53.375Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:31:55.266Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:31:57.163Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:31:59.073Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:31:59.073Z] 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.
[2025-06-26T22:31:59.073Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:31:59.994Z] Top recommended movies for user id 72:
[2025-06-26T22:31:59.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:31:59.994Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:31:59.994Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:31:59.994Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:31:59.994Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:31:59.994Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19862.797 ms) ======
[2025-06-26T22:31:59.994Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-26T22:31:59.994Z] GC before operation: completed in 239.999 ms, heap usage 1.191 GB -> 96.929 MB.
[2025-06-26T22:32:04.493Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:32:06.382Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:32:09.303Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:32:13.343Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:32:14.267Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:32:16.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:32:18.087Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:32:19.983Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:32:20.908Z] 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.
[2025-06-26T22:32:20.908Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:32:20.908Z] Top recommended movies for user id 72:
[2025-06-26T22:32:20.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:32:20.908Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:32:20.908Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:32:20.908Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:32:20.908Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:32:20.908Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20888.225 ms) ======
[2025-06-26T22:32:20.908Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-26T22:32:20.908Z] GC before operation: completed in 172.551 ms, heap usage 326.988 MB -> 92.264 MB.
[2025-06-26T22:32:23.905Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:32:27.928Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:32:29.825Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:32:32.750Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:32:34.650Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:32:36.548Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:32:38.491Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:32:40.390Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:32:40.390Z] 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.
[2025-06-26T22:32:40.390Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:32:41.328Z] Top recommended movies for user id 72:
[2025-06-26T22:32:41.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:32:41.328Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:32:41.328Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:32:41.328Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:32:41.328Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:32:41.328Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19982.135 ms) ======
[2025-06-26T22:32:41.328Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-26T22:32:41.328Z] GC before operation: completed in 247.089 ms, heap usage 136.317 MB -> 97.299 MB.
[2025-06-26T22:32:44.270Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:32:47.203Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:32:50.125Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:32:53.046Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:32:55.965Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:32:57.857Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:32:59.749Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:33:01.672Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:33:02.596Z] 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.
[2025-06-26T22:33:02.596Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:33:02.596Z] Top recommended movies for user id 72:
[2025-06-26T22:33:02.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:33:02.596Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:33:02.596Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:33:02.596Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:33:02.596Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:33:02.596Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21541.061 ms) ======
[2025-06-26T22:33:02.596Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-26T22:33:02.596Z] GC before operation: completed in 239.564 ms, heap usage 399.216 MB -> 92.341 MB.
[2025-06-26T22:33:06.631Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:33:09.613Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:33:12.132Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:33:15.057Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:33:16.947Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:33:18.835Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:33:21.830Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:33:23.738Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:33:23.738Z] 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.
[2025-06-26T22:33:23.738Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:33:23.738Z] Top recommended movies for user id 72:
[2025-06-26T22:33:23.738Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:33:23.738Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:33:23.738Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:33:23.738Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:33:23.738Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:33:23.738Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21035.089 ms) ======
[2025-06-26T22:33:23.738Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-26T22:33:23.738Z] GC before operation: completed in 185.779 ms, heap usage 144.830 MB -> 92.230 MB.
[2025-06-26T22:33:27.769Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T22:33:30.693Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T22:33:33.615Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T22:33:36.535Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T22:33:39.475Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T22:33:41.368Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T22:33:43.269Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T22:33:46.195Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T22:33:46.195Z] 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.
[2025-06-26T22:33:46.195Z] The best model improves the baseline by 14.43%.
[2025-06-26T22:33:46.195Z] Top recommended movies for user id 72:
[2025-06-26T22:33:46.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T22:33:46.195Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T22:33:46.195Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T22:33:46.195Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T22:33:46.195Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T22:33:46.195Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22377.139 ms) ======
[2025-06-26T22:33:49.130Z] -----------------------------------
[2025-06-26T22:33:49.130Z] renaissance-movie-lens_0_PASSED
[2025-06-26T22:33:49.130Z] -----------------------------------
[2025-06-26T22:33:49.130Z]
[2025-06-26T22:33:49.130Z] TEST TEARDOWN:
[2025-06-26T22:33:49.130Z] Nothing to be done for teardown.
[2025-06-26T22:33:49.130Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 22:33:48 2025 Epoch Time (ms): 1750977228115