renaissance-movie-lens_0
[2025-10-16T17:03:42.604Z] Running test renaissance-movie-lens_0 ...
[2025-10-16T17:03:42.604Z] ===============================================
[2025-10-16T17:03:42.604Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 17:03:41 2025 Epoch Time (ms): 1760634221899
[2025-10-16T17:03:42.604Z] variation: NoOptions
[2025-10-16T17:03:42.604Z] JVM_OPTIONS:
[2025-10-16T17:03:42.604Z] { \
[2025-10-16T17:03:42.604Z] echo ""; echo "TEST SETUP:"; \
[2025-10-16T17:03:42.604Z] echo "Nothing to be done for setup."; \
[2025-10-16T17:03:42.604Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606323693790/renaissance-movie-lens_0"; \
[2025-10-16T17:03:42.604Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606323693790/renaissance-movie-lens_0"; \
[2025-10-16T17:03:42.604Z] echo ""; echo "TESTING:"; \
[2025-10-16T17:03:42.604Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606323693790/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-16T17:03:42.605Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606323693790/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-16T17:03:42.605Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-16T17:03:42.605Z] echo "Nothing to be done for teardown."; \
[2025-10-16T17:03:42.605Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606323693790/TestTargetResult";
[2025-10-16T17:03:42.605Z]
[2025-10-16T17:03:42.605Z] TEST SETUP:
[2025-10-16T17:03:42.605Z] Nothing to be done for setup.
[2025-10-16T17:03:42.605Z]
[2025-10-16T17:03:42.605Z] TESTING:
[2025-10-16T17:03:43.381Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-16T17:03:43.381Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_17606323693790/renaissance-movie-lens_0/launcher-170342-4387812799887153693/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-16T17:03:43.381Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-16T17:03:43.381Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-16T17:04:05.492Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-10-16T17:04:15.427Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-16T17:04:15.427Z] Training: 60056, validation: 20285, test: 19854
[2025-10-16T17:04:15.427Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-16T17:04:15.427Z] GC before operation: completed in 144.247 ms, heap usage 593.687 MB -> 75.447 MB.
[2025-10-16T17:04:21.076Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:04:24.550Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:04:29.056Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:04:32.520Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:04:34.285Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:04:35.899Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:04:38.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:04:40.924Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:04:40.924Z] 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.
[2025-10-16T17:04:40.924Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:04:40.924Z] Top recommended movies for user id 72:
[2025-10-16T17:04:40.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:04:40.924Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:04:40.924Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:04:40.924Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:04:40.924Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:04:40.924Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25556.902 ms) ======
[2025-10-16T17:04:40.924Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-16T17:04:41.700Z] GC before operation: completed in 166.360 ms, heap usage 288.265 MB -> 88.154 MB.
[2025-10-16T17:04:45.151Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:04:48.616Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:04:52.100Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:04:54.607Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:04:57.106Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:04:58.717Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:05:02.165Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:05:03.767Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:05:04.542Z] 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.
[2025-10-16T17:05:04.542Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:05:04.542Z] Top recommended movies for user id 72:
[2025-10-16T17:05:04.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:05:04.542Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:05:04.542Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:05:04.542Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:05:04.542Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:05:04.542Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23142.253 ms) ======
[2025-10-16T17:05:04.542Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-16T17:05:04.542Z] GC before operation: completed in 132.486 ms, heap usage 250.281 MB -> 89.903 MB.
[2025-10-16T17:05:08.001Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:05:11.468Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:05:14.915Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:05:18.371Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:05:20.863Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:05:22.469Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:05:24.965Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:05:26.588Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:05:26.588Z] 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.
[2025-10-16T17:05:26.588Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:05:27.363Z] Top recommended movies for user id 72:
[2025-10-16T17:05:27.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:05:27.363Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:05:27.363Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:05:27.363Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:05:27.363Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:05:27.363Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22345.618 ms) ======
[2025-10-16T17:05:27.363Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-16T17:05:27.363Z] GC before operation: completed in 138.415 ms, heap usage 363.483 MB -> 90.645 MB.
[2025-10-16T17:05:29.871Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:05:33.317Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:05:37.843Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:05:40.331Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:05:41.938Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:05:44.431Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:05:46.032Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:05:47.644Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:05:48.419Z] 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.
[2025-10-16T17:05:48.419Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:05:48.419Z] Top recommended movies for user id 72:
[2025-10-16T17:05:48.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:05:48.419Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:05:48.419Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:05:48.419Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:05:48.419Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:05:48.419Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21337.310 ms) ======
[2025-10-16T17:05:48.419Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-16T17:05:48.419Z] GC before operation: completed in 151.268 ms, heap usage 553.076 MB -> 90.921 MB.
[2025-10-16T17:05:51.881Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:05:54.387Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:05:58.036Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:06:01.496Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:06:03.102Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:06:04.723Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:06:09.221Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:06:09.997Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:06:10.774Z] 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.
[2025-10-16T17:06:10.774Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:06:10.774Z] Top recommended movies for user id 72:
[2025-10-16T17:06:10.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:06:10.774Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:06:10.774Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:06:10.774Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:06:10.774Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:06:10.774Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22285.103 ms) ======
[2025-10-16T17:06:10.774Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-16T17:06:10.774Z] GC before operation: completed in 157.948 ms, heap usage 360.931 MB -> 90.621 MB.
[2025-10-16T17:06:14.236Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:06:16.724Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:06:21.248Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:06:23.746Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:06:26.244Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:06:27.862Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:06:30.358Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:06:31.965Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:06:31.965Z] 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.
[2025-10-16T17:06:31.965Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:06:31.965Z] Top recommended movies for user id 72:
[2025-10-16T17:06:31.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:06:31.965Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:06:31.965Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:06:31.965Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:06:31.965Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:06:31.965Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21121.607 ms) ======
[2025-10-16T17:06:31.965Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-16T17:06:31.965Z] GC before operation: completed in 140.127 ms, heap usage 255.020 MB -> 90.851 MB.
[2025-10-16T17:06:35.421Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:06:38.876Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:06:42.340Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:06:44.829Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:06:47.344Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:06:48.949Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:06:50.556Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:06:52.167Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:06:52.945Z] 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.
[2025-10-16T17:06:52.945Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:06:52.945Z] Top recommended movies for user id 72:
[2025-10-16T17:06:52.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:06:52.945Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:06:52.945Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:06:52.945Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:06:52.945Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:06:52.945Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20572.979 ms) ======
[2025-10-16T17:06:52.945Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-16T17:06:52.945Z] GC before operation: completed in 147.616 ms, heap usage 1.128 GB -> 95.428 MB.
[2025-10-16T17:06:56.402Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:06:58.904Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:07:03.418Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:07:05.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:07:08.405Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:07:10.025Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:07:13.477Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:07:15.096Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:07:15.871Z] 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.
[2025-10-16T17:07:15.871Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:07:15.871Z] Top recommended movies for user id 72:
[2025-10-16T17:07:15.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:07:15.872Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:07:15.872Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:07:15.872Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:07:15.872Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:07:15.872Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22660.882 ms) ======
[2025-10-16T17:07:15.872Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-16T17:07:15.872Z] GC before operation: completed in 144.731 ms, heap usage 270.215 MB -> 91.375 MB.
[2025-10-16T17:07:19.327Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:07:22.094Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:07:26.608Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:07:29.115Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:07:30.734Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:07:32.353Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:07:34.858Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:07:36.484Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:07:36.484Z] 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.
[2025-10-16T17:07:36.484Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:07:36.484Z] Top recommended movies for user id 72:
[2025-10-16T17:07:36.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:07:36.484Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:07:36.484Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:07:36.484Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:07:36.484Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:07:36.484Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20930.162 ms) ======
[2025-10-16T17:07:36.484Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-16T17:07:37.260Z] GC before operation: completed in 155.777 ms, heap usage 1.742 GB -> 97.891 MB.
[2025-10-16T17:07:39.752Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:07:43.208Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:07:46.661Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:07:49.158Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:07:51.645Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:07:52.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:07:55.088Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:07:56.717Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:07:56.717Z] 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.
[2025-10-16T17:07:56.717Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:07:57.492Z] Top recommended movies for user id 72:
[2025-10-16T17:07:57.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:07:57.492Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:07:57.492Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:07:57.492Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:07:57.492Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:07:57.492Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20177.393 ms) ======
[2025-10-16T17:07:57.492Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-16T17:07:57.492Z] GC before operation: completed in 121.322 ms, heap usage 166.012 MB -> 91.507 MB.
[2025-10-16T17:07:59.995Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:08:03.459Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:08:07.007Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:08:10.454Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:08:12.060Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:08:13.669Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:08:16.161Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:08:17.780Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:08:18.564Z] 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.
[2025-10-16T17:08:18.564Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:08:18.564Z] Top recommended movies for user id 72:
[2025-10-16T17:08:18.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:08:18.564Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:08:18.564Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:08:18.564Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:08:18.564Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:08:18.564Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21184.341 ms) ======
[2025-10-16T17:08:18.564Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-16T17:08:18.564Z] GC before operation: completed in 123.933 ms, heap usage 1.131 GB -> 95.631 MB.
[2025-10-16T17:08:22.010Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:08:24.521Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:08:29.020Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:08:31.508Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:08:33.112Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:08:35.603Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:08:37.226Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:08:38.851Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:08:39.627Z] 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.
[2025-10-16T17:08:39.627Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:08:39.627Z] Top recommended movies for user id 72:
[2025-10-16T17:08:39.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:08:39.627Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:08:39.627Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:08:39.627Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:08:39.627Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:08:39.627Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20940.369 ms) ======
[2025-10-16T17:08:39.627Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-16T17:08:39.627Z] GC before operation: completed in 121.109 ms, heap usage 319.412 MB -> 91.224 MB.
[2025-10-16T17:08:42.341Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:08:45.802Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:08:49.277Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:08:52.746Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:08:54.349Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:08:56.837Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:08:58.440Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:09:00.041Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:09:00.837Z] 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.
[2025-10-16T17:09:00.837Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:09:00.837Z] Top recommended movies for user id 72:
[2025-10-16T17:09:00.837Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:09:00.837Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:09:00.837Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:09:00.837Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:09:00.837Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:09:00.837Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21352.109 ms) ======
[2025-10-16T17:09:00.837Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-16T17:09:00.837Z] GC before operation: completed in 114.159 ms, heap usage 344.624 MB -> 91.377 MB.
[2025-10-16T17:09:04.303Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:09:06.801Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:09:10.257Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:09:13.704Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:09:15.306Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:09:17.800Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:09:20.292Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:09:21.894Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:09:21.894Z] 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.
[2025-10-16T17:09:21.894Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:09:22.676Z] Top recommended movies for user id 72:
[2025-10-16T17:09:22.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:09:22.676Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:09:22.676Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:09:22.676Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:09:22.676Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:09:22.676Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21278.199 ms) ======
[2025-10-16T17:09:22.676Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-16T17:09:22.676Z] GC before operation: completed in 119.058 ms, heap usage 143.976 MB -> 90.938 MB.
[2025-10-16T17:09:25.178Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:09:28.637Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:09:32.097Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:09:35.550Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:09:37.151Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:09:39.654Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:09:41.267Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:09:42.870Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:09:43.656Z] 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.
[2025-10-16T17:09:43.656Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:09:43.656Z] Top recommended movies for user id 72:
[2025-10-16T17:09:43.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:09:43.656Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:09:43.656Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:09:43.656Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:09:43.656Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:09:43.656Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21283.639 ms) ======
[2025-10-16T17:09:43.656Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-16T17:09:43.656Z] GC before operation: completed in 135.881 ms, heap usage 131.208 MB -> 91.218 MB.
[2025-10-16T17:09:47.114Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:09:49.625Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:09:54.118Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:09:56.614Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:09:59.109Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:10:00.715Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:10:03.205Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:10:04.817Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:10:04.817Z] 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.
[2025-10-16T17:10:04.817Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:10:05.605Z] Top recommended movies for user id 72:
[2025-10-16T17:10:05.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:10:05.605Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:10:05.605Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:10:05.605Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:10:05.605Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:10:05.605Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21411.242 ms) ======
[2025-10-16T17:10:05.605Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-16T17:10:05.605Z] GC before operation: completed in 112.694 ms, heap usage 184.166 MB -> 91.189 MB.
[2025-10-16T17:10:08.291Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:10:11.762Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:10:16.256Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:10:18.754Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:10:21.252Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:10:22.858Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:10:25.346Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:10:26.964Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:10:27.740Z] 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.
[2025-10-16T17:10:27.740Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:10:27.740Z] Top recommended movies for user id 72:
[2025-10-16T17:10:27.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:10:27.740Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:10:27.740Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:10:27.740Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:10:27.740Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:10:27.740Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22157.077 ms) ======
[2025-10-16T17:10:27.740Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-16T17:10:27.740Z] GC before operation: completed in 117.983 ms, heap usage 301.249 MB -> 91.506 MB.
[2025-10-16T17:10:30.231Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:10:33.680Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:10:37.143Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:10:40.611Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:10:42.234Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:10:43.844Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:10:46.337Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:10:47.958Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:10:47.958Z] 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.
[2025-10-16T17:10:47.958Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:10:47.958Z] Top recommended movies for user id 72:
[2025-10-16T17:10:47.958Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:10:47.958Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:10:47.958Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:10:47.958Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:10:47.958Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:10:47.958Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20442.821 ms) ======
[2025-10-16T17:10:47.958Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-16T17:10:47.958Z] GC before operation: completed in 122.991 ms, heap usage 3.223 GB -> 97.491 MB.
[2025-10-16T17:10:51.405Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:10:54.869Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:10:58.318Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:11:01.772Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:11:03.374Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:11:04.976Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:11:07.470Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:11:09.089Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:11:09.866Z] 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.
[2025-10-16T17:11:09.866Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:11:09.866Z] Top recommended movies for user id 72:
[2025-10-16T17:11:09.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:11:09.866Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:11:09.866Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:11:09.866Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:11:09.866Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:11:09.866Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21625.954 ms) ======
[2025-10-16T17:11:09.866Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-16T17:11:09.866Z] GC before operation: completed in 111.738 ms, heap usage 184.343 MB -> 91.227 MB.
[2025-10-16T17:11:13.330Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-16T17:11:15.835Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-16T17:11:20.337Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-16T17:11:22.830Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-16T17:11:24.439Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-16T17:11:26.932Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-16T17:11:28.540Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-16T17:11:30.175Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-16T17:11:31.104Z] 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.
[2025-10-16T17:11:31.104Z] The best model improves the baseline by 14.43%.
[2025-10-16T17:11:31.104Z] Top recommended movies for user id 72:
[2025-10-16T17:11:31.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-16T17:11:31.104Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-16T17:11:31.104Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-16T17:11:31.104Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-16T17:11:31.104Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-16T17:11:31.104Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20895.812 ms) ======
[2025-10-16T17:11:31.879Z] -----------------------------------
[2025-10-16T17:11:31.879Z] renaissance-movie-lens_0_PASSED
[2025-10-16T17:11:31.879Z] -----------------------------------
[2025-10-16T17:11:31.879Z]
[2025-10-16T17:11:31.879Z] TEST TEARDOWN:
[2025-10-16T17:11:31.879Z] Nothing to be done for teardown.
[2025-10-16T17:11:31.879Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 17:11:31 2025 Epoch Time (ms): 1760634691081