renaissance-movie-lens_0
[2026-02-04T23:05:42.068Z] Running test renaissance-movie-lens_0 ...
[2026-02-04T23:05:42.068Z] ===============================================
[2026-02-04T23:05:42.068Z] renaissance-movie-lens_0 Start Time: Wed Feb 4 17:04:27 2026 Epoch Time (ms): 1770246267470
[2026-02-04T23:05:42.068Z] variation: NoOptions
[2026-02-04T23:05:42.068Z] JVM_OPTIONS:
[2026-02-04T23:05:42.068Z] { \
[2026-02-04T23:05:42.068Z] echo ""; echo "TEST SETUP:"; \
[2026-02-04T23:05:42.068Z] echo "Nothing to be done for setup."; \
[2026-02-04T23:05:42.068Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702455518785/renaissance-movie-lens_0"; \
[2026-02-04T23:05:42.068Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702455518785/renaissance-movie-lens_0"; \
[2026-02-04T23:05:42.068Z] echo ""; echo "TESTING:"; \
[2026-02-04T23:05:42.068Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702455518785/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-02-04T23:05:42.068Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702455518785/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-02-04T23:05:42.068Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-02-04T23:05:42.068Z] echo "Nothing to be done for teardown."; \
[2026-02-04T23:05:42.068Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17702455518785/TestTargetResult";
[2026-02-04T23:05:42.068Z]
[2026-02-04T23:05:42.068Z] TEST SETUP:
[2026-02-04T23:05:42.068Z] Nothing to be done for setup.
[2026-02-04T23:05:42.068Z]
[2026-02-04T23:05:42.068Z] TESTING:
[2026-02-04T23:05:46.985Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2026-02-04T23:05:54.475Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-02-04T23:05:55.136Z] Training: 60056, validation: 20285, test: 19854
[2026-02-04T23:05:55.136Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-02-04T23:05:55.136Z] GC before operation: completed in 141.653 ms, heap usage 209.519 MB -> 76.437 MB.
[2026-02-04T23:06:01.296Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:05.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:08.283Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:11.275Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:12.668Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:14.813Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:16.182Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:06:18.311Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:06:18.311Z] 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.
[2026-02-04T23:06:18.311Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:06:18.311Z] Top recommended movies for user id 72:
[2026-02-04T23:06:18.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:06:18.311Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:06:18.311Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:06:18.311Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:06:18.311Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:06:18.311Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23569.442 ms) ======
[2026-02-04T23:06:18.311Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-02-04T23:06:18.974Z] GC before operation: completed in 159.806 ms, heap usage 422.578 MB -> 94.341 MB.
[2026-02-04T23:06:21.117Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:24.131Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:27.087Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:29.252Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:30.767Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:32.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:34.234Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:06:35.593Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:06:35.593Z] 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.
[2026-02-04T23:06:35.593Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:06:36.259Z] Top recommended movies for user id 72:
[2026-02-04T23:06:36.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:06:36.259Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:06:36.259Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:06:36.259Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:06:36.259Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:06:36.259Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17144.050 ms) ======
[2026-02-04T23:06:36.259Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-02-04T23:06:36.259Z] GC before operation: completed in 106.472 ms, heap usage 810.308 MB -> 94.386 MB.
[2026-02-04T23:06:39.206Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:41.322Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:06:44.325Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:06:46.500Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:06:48.605Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:06:49.988Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:06:51.365Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:06:52.929Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:06:52.929Z] 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.
[2026-02-04T23:06:53.580Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:06:53.580Z] Top recommended movies for user id 72:
[2026-02-04T23:06:53.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:06:53.580Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:06:53.580Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:06:53.580Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:06:53.580Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:06:53.580Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17418.562 ms) ======
[2026-02-04T23:06:53.580Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-02-04T23:06:53.580Z] GC before operation: completed in 113.537 ms, heap usage 173.789 MB -> 93.273 MB.
[2026-02-04T23:06:56.559Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:06:58.719Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:00.880Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:03.082Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:04.476Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:06.651Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:08.097Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:09.460Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:09.460Z] 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.
[2026-02-04T23:07:09.460Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:07:09.460Z] Top recommended movies for user id 72:
[2026-02-04T23:07:09.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:07:09.460Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:07:09.460Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:07:09.460Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:07:09.460Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:07:09.460Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16141.853 ms) ======
[2026-02-04T23:07:09.460Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-02-04T23:07:10.109Z] GC before operation: completed in 108.731 ms, heap usage 200.001 MB -> 97.531 MB.
[2026-02-04T23:07:12.243Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:14.443Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:16.657Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:18.782Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:20.145Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:21.549Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:22.930Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:24.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:25.025Z] 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.
[2026-02-04T23:07:25.025Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:07:25.025Z] Top recommended movies for user id 72:
[2026-02-04T23:07:25.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:07:25.025Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:07:25.025Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:07:25.025Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:07:25.025Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:07:25.025Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15110.774 ms) ======
[2026-02-04T23:07:25.025Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-02-04T23:07:25.025Z] GC before operation: completed in 109.399 ms, heap usage 132.253 MB -> 95.382 MB.
[2026-02-04T23:07:27.205Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:30.199Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:32.330Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:34.449Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:35.812Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:37.184Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:38.580Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:39.957Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:39.957Z] 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.
[2026-02-04T23:07:39.957Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:07:39.957Z] Top recommended movies for user id 72:
[2026-02-04T23:07:39.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:07:39.957Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:07:39.957Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:07:39.957Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:07:39.957Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:07:39.957Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15008.298 ms) ======
[2026-02-04T23:07:39.957Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-02-04T23:07:39.957Z] GC before operation: completed in 120.458 ms, heap usage 694.846 MB -> 95.699 MB.
[2026-02-04T23:07:42.963Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:07:45.106Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:07:47.247Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:07:49.430Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:07:50.789Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:07:52.147Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:07:53.551Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:07:54.913Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:07:54.913Z] 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.
[2026-02-04T23:07:54.913Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:07:54.913Z] Top recommended movies for user id 72:
[2026-02-04T23:07:54.913Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:07:54.913Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:07:54.913Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:07:54.913Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:07:54.913Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:07:54.913Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14814.381 ms) ======
[2026-02-04T23:07:54.913Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-02-04T23:07:54.913Z] GC before operation: completed in 111.104 ms, heap usage 398.112 MB -> 91.918 MB.
[2026-02-04T23:07:57.902Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:00.184Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:02.578Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:03.991Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:05.421Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:06.789Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:08.175Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:09.681Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:10.349Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-04T23:08:10.349Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:08:10.349Z] Top recommended movies for user id 72:
[2026-02-04T23:08:10.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:08:10.349Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:08:10.349Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:08:10.349Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:08:10.349Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:08:10.349Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15102.819 ms) ======
[2026-02-04T23:08:10.349Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-02-04T23:08:10.349Z] GC before operation: completed in 98.101 ms, heap usage 1.014 GB -> 96.264 MB.
[2026-02-04T23:08:12.516Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:14.813Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:16.981Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:19.125Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:20.496Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:21.873Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:23.307Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:24.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:25.431Z] 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.
[2026-02-04T23:08:25.431Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:08:25.431Z] Top recommended movies for user id 72:
[2026-02-04T23:08:25.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:08:25.431Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:08:25.431Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:08:25.431Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:08:25.431Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:08:25.431Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14973.285 ms) ======
[2026-02-04T23:08:25.431Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-02-04T23:08:25.431Z] GC before operation: completed in 115.192 ms, heap usage 798.886 MB -> 95.695 MB.
[2026-02-04T23:08:27.639Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:29.833Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:32.160Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:34.304Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:35.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:37.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:38.591Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:39.979Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:39.979Z] 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.
[2026-02-04T23:08:39.979Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:08:39.979Z] Top recommended movies for user id 72:
[2026-02-04T23:08:39.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:08:39.979Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:08:39.979Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:08:39.979Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:08:39.979Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:08:39.979Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14781.996 ms) ======
[2026-02-04T23:08:39.979Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-02-04T23:08:39.979Z] GC before operation: completed in 95.813 ms, heap usage 169.088 MB -> 93.853 MB.
[2026-02-04T23:08:43.079Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:45.274Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:08:47.537Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:08:49.417Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:08:50.787Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:08:52.149Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:08:53.497Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:08:54.862Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:08:54.862Z] 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.
[2026-02-04T23:08:54.862Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:08:55.521Z] Top recommended movies for user id 72:
[2026-02-04T23:08:55.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:08:55.521Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:08:55.521Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:08:55.521Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:08:55.521Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:08:55.521Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14955.139 ms) ======
[2026-02-04T23:08:55.521Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-02-04T23:08:55.521Z] GC before operation: completed in 133.806 ms, heap usage 528.347 MB -> 92.082 MB.
[2026-02-04T23:08:57.662Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:08:59.772Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:01.896Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:04.112Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:05.469Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:06.837Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:08.199Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:09.603Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:10.253Z] 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.
[2026-02-04T23:09:10.253Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:09:10.253Z] Top recommended movies for user id 72:
[2026-02-04T23:09:10.253Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:09:10.253Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:09:10.253Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:09:10.253Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:09:10.253Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:09:10.253Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14823.219 ms) ======
[2026-02-04T23:09:10.253Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-02-04T23:09:10.253Z] GC before operation: completed in 101.856 ms, heap usage 838.331 MB -> 95.917 MB.
[2026-02-04T23:09:12.377Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:14.512Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:16.678Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:18.821Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:21.016Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:22.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:23.781Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:25.204Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:25.204Z] 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.
[2026-02-04T23:09:25.204Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:09:25.204Z] Top recommended movies for user id 72:
[2026-02-04T23:09:25.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:09:25.204Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:09:25.204Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:09:25.204Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:09:25.204Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:09:25.204Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15108.516 ms) ======
[2026-02-04T23:09:25.204Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-02-04T23:09:25.204Z] GC before operation: completed in 111.401 ms, heap usage 196.718 MB -> 93.194 MB.
[2026-02-04T23:09:28.197Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:30.336Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:32.890Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:34.264Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:35.633Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:37.001Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:38.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:39.709Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:40.354Z] 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.
[2026-02-04T23:09:40.354Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:09:40.354Z] Top recommended movies for user id 72:
[2026-02-04T23:09:40.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:09:40.354Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:09:40.354Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:09:40.354Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:09:40.354Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:09:40.354Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14782.400 ms) ======
[2026-02-04T23:09:40.354Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-02-04T23:09:40.354Z] GC before operation: completed in 122.796 ms, heap usage 518.668 MB -> 92.269 MB.
[2026-02-04T23:09:42.474Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:44.586Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:09:47.562Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:09:49.710Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:09:50.382Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:09:51.774Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:09:53.163Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:09:54.620Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:09:54.620Z] 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.
[2026-02-04T23:09:54.620Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:09:55.285Z] Top recommended movies for user id 72:
[2026-02-04T23:09:55.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:09:55.285Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:09:55.285Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:09:55.285Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:09:55.285Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:09:55.285Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14663.790 ms) ======
[2026-02-04T23:09:55.285Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-02-04T23:09:55.285Z] GC before operation: completed in 152.932 ms, heap usage 229.293 MB -> 92.280 MB.
[2026-02-04T23:09:57.441Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:09:59.588Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:01.713Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:03.904Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:05.286Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:06.688Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:08.814Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:10.179Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:10.179Z] 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.
[2026-02-04T23:10:10.179Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:10:10.179Z] Top recommended movies for user id 72:
[2026-02-04T23:10:10.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:10:10.179Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:10:10.179Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:10:10.179Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:10:10.179Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:10:10.179Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15045.436 ms) ======
[2026-02-04T23:10:10.179Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-02-04T23:10:10.179Z] GC before operation: completed in 104.636 ms, heap usage 176.967 MB -> 93.967 MB.
[2026-02-04T23:10:13.169Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:15.279Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:17.417Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:19.166Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:20.537Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:21.916Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:23.275Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:24.648Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:25.295Z] 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.
[2026-02-04T23:10:25.295Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:10:25.295Z] Top recommended movies for user id 72:
[2026-02-04T23:10:25.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:10:25.295Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:10:25.295Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:10:25.295Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:10:25.295Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:10:25.295Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14851.662 ms) ======
[2026-02-04T23:10:25.295Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-02-04T23:10:25.295Z] GC before operation: completed in 125.139 ms, heap usage 592.665 MB -> 92.525 MB.
[2026-02-04T23:10:28.281Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:30.423Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:32.549Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:34.678Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:36.026Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:37.421Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:38.770Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:40.127Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:40.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-02-04T23:10:40.127Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:10:40.127Z] Top recommended movies for user id 72:
[2026-02-04T23:10:40.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:10:40.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:10:40.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:10:40.127Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:10:40.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:10:40.127Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14910.474 ms) ======
[2026-02-04T23:10:40.127Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-02-04T23:10:40.127Z] GC before operation: completed in 128.343 ms, heap usage 578.061 MB -> 92.397 MB.
[2026-02-04T23:10:43.076Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:45.184Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:10:47.289Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:10:49.393Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:10:50.738Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:10:52.094Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:10:53.440Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:10:54.801Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:10:54.801Z] 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.
[2026-02-04T23:10:54.801Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:10:55.446Z] Top recommended movies for user id 72:
[2026-02-04T23:10:55.447Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:10:55.447Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:10:55.447Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:10:55.447Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:10:55.447Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:10:55.447Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14828.521 ms) ======
[2026-02-04T23:10:55.447Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-02-04T23:10:55.447Z] GC before operation: completed in 108.408 ms, heap usage 507.659 MB -> 94.692 MB.
[2026-02-04T23:10:57.565Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-02-04T23:10:59.776Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-02-04T23:11:01.904Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-02-04T23:11:04.541Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-02-04T23:11:05.909Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-02-04T23:11:07.262Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-02-04T23:11:08.630Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-02-04T23:11:09.292Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-02-04T23:11:09.988Z] 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.
[2026-02-04T23:11:09.988Z] The best model improves the baseline by 14.43%.
[2026-02-04T23:11:09.988Z] Top recommended movies for user id 72:
[2026-02-04T23:11:09.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-02-04T23:11:09.988Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-02-04T23:11:09.988Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-02-04T23:11:09.988Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-02-04T23:11:09.988Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-02-04T23:11:09.988Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14679.450 ms) ======
[2026-02-04T23:11:11.346Z] -----------------------------------
[2026-02-04T23:11:11.346Z] renaissance-movie-lens_0_PASSED
[2026-02-04T23:11:11.346Z] -----------------------------------
[2026-02-04T23:11:11.346Z]
[2026-02-04T23:11:11.346Z] TEST TEARDOWN:
[2026-02-04T23:11:11.346Z] Nothing to be done for teardown.
[2026-02-04T23:11:11.346Z] renaissance-movie-lens_0 Finish Time: Wed Feb 4 17:09:56 2026 Epoch Time (ms): 1770246596529