renaissance-movie-lens_0
[2025-08-25T21:57:32.409Z] Running test renaissance-movie-lens_0 ...
[2025-08-25T21:57:32.409Z] ===============================================
[2025-08-25T21:57:32.409Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 21:57:31 2025 Epoch Time (ms): 1756159051519
[2025-08-25T21:57:32.409Z] variation: NoOptions
[2025-08-25T21:57:32.409Z] JVM_OPTIONS:
[2025-08-25T21:57:32.409Z] { \
[2025-08-25T21:57:32.409Z] echo ""; echo "TEST SETUP:"; \
[2025-08-25T21:57:32.409Z] echo "Nothing to be done for setup."; \
[2025-08-25T21:57:32.409Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17561573814621/renaissance-movie-lens_0"; \
[2025-08-25T21:57:32.409Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17561573814621/renaissance-movie-lens_0"; \
[2025-08-25T21:57:32.409Z] echo ""; echo "TESTING:"; \
[2025-08-25T21:57:32.410Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17561573814621/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-25T21:57:32.410Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17561573814621/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-25T21:57:32.410Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-25T21:57:32.410Z] echo "Nothing to be done for teardown."; \
[2025-08-25T21:57:32.410Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17561573814621/TestTargetResult";
[2025-08-25T21:57:32.410Z]
[2025-08-25T21:57:32.410Z] TEST SETUP:
[2025-08-25T21:57:32.410Z] Nothing to be done for setup.
[2025-08-25T21:57:32.410Z]
[2025-08-25T21:57:32.410Z] TESTING:
[2025-08-25T21:57:40.736Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-25T21:57:54.548Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-25T21:57:55.324Z] Training: 60056, validation: 20285, test: 19854
[2025-08-25T21:57:55.324Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-25T21:57:55.324Z] GC before operation: completed in 162.151 ms, heap usage 586.353 MB -> 75.391 MB.
[2025-08-25T21:58:02.264Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T21:58:06.930Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T21:58:10.375Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T21:58:15.041Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T21:58:17.526Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T21:58:20.019Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T21:58:22.514Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T21:58:25.015Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T21:58:25.015Z] 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.
[2025-08-25T21:58:25.015Z] The best model improves the baseline by 14.43%.
[2025-08-25T21:58:25.791Z] Top recommended movies for user id 72:
[2025-08-25T21:58:25.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T21:58:25.791Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T21:58:25.791Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T21:58:25.791Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T21:58:25.791Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T21:58:25.791Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30313.278 ms) ======
[2025-08-25T21:58:25.791Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-25T21:58:25.791Z] GC before operation: completed in 237.371 ms, heap usage 1.061 GB -> 92.420 MB.
[2025-08-25T21:58:30.316Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T21:58:33.769Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T21:58:37.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T21:58:41.727Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T21:58:43.336Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T21:58:45.820Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T21:58:48.326Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T21:58:50.994Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T21:58:50.994Z] 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.
[2025-08-25T21:58:50.994Z] The best model improves the baseline by 14.43%.
[2025-08-25T21:58:51.769Z] Top recommended movies for user id 72:
[2025-08-25T21:58:51.769Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T21:58:51.769Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T21:58:51.769Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T21:58:51.769Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T21:58:51.769Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T21:58:51.769Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25632.668 ms) ======
[2025-08-25T21:58:51.769Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-25T21:58:51.769Z] GC before operation: completed in 227.831 ms, heap usage 543.100 MB -> 90.913 MB.
[2025-08-25T21:58:56.276Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T21:58:59.725Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T21:59:03.175Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T21:59:06.616Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T21:59:09.104Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T21:59:11.590Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T21:59:14.182Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T21:59:15.786Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T21:59:16.563Z] 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.
[2025-08-25T21:59:16.563Z] The best model improves the baseline by 14.43%.
[2025-08-25T21:59:16.563Z] Top recommended movies for user id 72:
[2025-08-25T21:59:16.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T21:59:16.563Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T21:59:16.563Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T21:59:16.563Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T21:59:16.563Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T21:59:16.563Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (25162.653 ms) ======
[2025-08-25T21:59:16.563Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-25T21:59:17.337Z] GC before operation: completed in 256.656 ms, heap usage 433.351 MB -> 91.702 MB.
[2025-08-25T21:59:20.780Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T21:59:24.230Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T21:59:28.723Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T21:59:32.354Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T21:59:33.984Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T21:59:36.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T21:59:38.084Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T21:59:40.571Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T21:59:40.571Z] 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.
[2025-08-25T21:59:40.571Z] The best model improves the baseline by 14.43%.
[2025-08-25T21:59:41.345Z] Top recommended movies for user id 72:
[2025-08-25T21:59:41.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T21:59:41.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T21:59:41.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T21:59:41.345Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T21:59:41.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T21:59:41.345Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24080.349 ms) ======
[2025-08-25T21:59:41.345Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-25T21:59:41.345Z] GC before operation: completed in 217.909 ms, heap usage 104.933 MB -> 96.006 MB.
[2025-08-25T21:59:44.796Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T21:59:49.467Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T21:59:52.925Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T21:59:56.388Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T21:59:57.994Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:00:00.495Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:00:03.617Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:00:05.499Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:00:05.499Z] 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.
[2025-08-25T22:00:05.499Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:00:05.499Z] Top recommended movies for user id 72:
[2025-08-25T22:00:05.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:00:05.499Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:00:05.499Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:00:05.499Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:00:05.499Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:00:05.499Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24226.003 ms) ======
[2025-08-25T22:00:05.499Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-25T22:00:06.279Z] GC before operation: completed in 258.951 ms, heap usage 1.069 GB -> 95.974 MB.
[2025-08-25T22:00:09.796Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:00:13.258Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:00:17.060Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:00:20.531Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:00:23.016Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:00:24.613Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:00:27.096Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:00:29.582Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:00:29.582Z] 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.
[2025-08-25T22:00:29.582Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:00:30.362Z] Top recommended movies for user id 72:
[2025-08-25T22:00:30.362Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:00:30.362Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:00:30.362Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:00:30.362Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:00:30.362Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:00:30.362Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24204.327 ms) ======
[2025-08-25T22:00:30.362Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-25T22:00:30.362Z] GC before operation: completed in 221.210 ms, heap usage 454.159 MB -> 92.187 MB.
[2025-08-25T22:00:33.803Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:00:37.252Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:00:41.765Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:00:45.228Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:00:46.828Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:00:49.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:00:51.814Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:00:53.450Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:00:54.231Z] 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.
[2025-08-25T22:00:54.231Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:00:54.231Z] Top recommended movies for user id 72:
[2025-08-25T22:00:54.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:00:54.231Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:00:54.231Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:00:54.231Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:00:54.231Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:00:54.231Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23848.323 ms) ======
[2025-08-25T22:00:54.231Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-25T22:00:54.231Z] GC before operation: completed in 224.975 ms, heap usage 316.403 MB -> 92.054 MB.
[2025-08-25T22:00:58.760Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:01:01.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:01:05.943Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:01:09.380Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:01:10.978Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:01:13.474Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:01:16.029Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:01:17.632Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:01:18.406Z] 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.
[2025-08-25T22:01:18.406Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:01:18.406Z] Top recommended movies for user id 72:
[2025-08-25T22:01:18.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:01:18.406Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:01:18.406Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:01:18.406Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:01:18.406Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:01:18.406Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24018.060 ms) ======
[2025-08-25T22:01:18.406Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-25T22:01:18.406Z] GC before operation: completed in 248.321 ms, heap usage 367.633 MB -> 92.372 MB.
[2025-08-25T22:01:22.898Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:01:26.339Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:01:29.849Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:01:33.529Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:01:35.132Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:01:37.614Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:01:40.096Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:01:41.700Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:01:42.491Z] 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.
[2025-08-25T22:01:42.491Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:01:42.491Z] Top recommended movies for user id 72:
[2025-08-25T22:01:42.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:01:42.491Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:01:42.491Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:01:42.491Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:01:42.491Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:01:42.491Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24057.257 ms) ======
[2025-08-25T22:01:42.491Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-25T22:01:43.273Z] GC before operation: completed in 225.075 ms, heap usage 433.077 MB -> 92.247 MB.
[2025-08-25T22:01:46.723Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:01:50.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:01:53.606Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:01:57.044Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:01:59.523Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:02:01.130Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:02:03.618Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:02:06.122Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:02:06.122Z] 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.
[2025-08-25T22:02:06.122Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:02:06.122Z] Top recommended movies for user id 72:
[2025-08-25T22:02:06.122Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:02:06.122Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:02:06.122Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:02:06.122Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:02:06.122Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:02:06.122Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23341.777 ms) ======
[2025-08-25T22:02:06.122Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-25T22:02:06.895Z] GC before operation: completed in 244.846 ms, heap usage 382.880 MB -> 92.490 MB.
[2025-08-25T22:02:10.347Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:02:13.848Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:02:17.312Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:02:20.783Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:02:23.275Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:02:24.879Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:02:27.369Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:02:29.865Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:02:29.865Z] 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.
[2025-08-25T22:02:29.865Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:02:29.865Z] Top recommended movies for user id 72:
[2025-08-25T22:02:29.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:02:29.865Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:02:29.865Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:02:29.865Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:02:29.865Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:02:29.865Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23592.683 ms) ======
[2025-08-25T22:02:29.865Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-25T22:02:30.638Z] GC before operation: completed in 255.530 ms, heap usage 972.796 MB -> 95.932 MB.
[2025-08-25T22:02:34.095Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:02:37.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:02:41.002Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:02:44.454Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:02:46.940Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:02:49.432Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:02:51.042Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:02:53.545Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:02:53.545Z] 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.
[2025-08-25T22:02:53.545Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:02:54.329Z] Top recommended movies for user id 72:
[2025-08-25T22:02:54.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:02:54.329Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:02:54.329Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:02:54.329Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:02:54.329Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:02:54.329Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23677.536 ms) ======
[2025-08-25T22:02:54.329Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-25T22:02:54.329Z] GC before operation: completed in 226.258 ms, heap usage 737.309 MB -> 96.013 MB.
[2025-08-25T22:02:57.771Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:03:01.216Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:03:04.753Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:03:08.195Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:03:10.678Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:03:13.174Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:03:15.856Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:03:17.461Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:03:17.461Z] 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.
[2025-08-25T22:03:17.461Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:03:18.416Z] Top recommended movies for user id 72:
[2025-08-25T22:03:18.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:03:18.416Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:03:18.416Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:03:18.416Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:03:18.416Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:03:18.416Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23710.827 ms) ======
[2025-08-25T22:03:18.416Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-25T22:03:18.416Z] GC before operation: completed in 224.140 ms, heap usage 179.702 MB -> 92.271 MB.
[2025-08-25T22:03:21.869Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:03:25.316Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:03:28.849Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:03:32.300Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:03:34.790Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:03:37.286Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:03:39.779Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:03:41.425Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:03:42.200Z] 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.
[2025-08-25T22:03:42.200Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:03:42.200Z] Top recommended movies for user id 72:
[2025-08-25T22:03:42.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:03:42.200Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:03:42.200Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:03:42.200Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:03:42.200Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:03:42.200Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23993.541 ms) ======
[2025-08-25T22:03:42.200Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-25T22:03:42.200Z] GC before operation: completed in 245.535 ms, heap usage 420.592 MB -> 92.308 MB.
[2025-08-25T22:03:46.693Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:03:50.149Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:03:53.604Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:03:57.046Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:03:58.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:04:01.135Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:04:03.628Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:04:05.227Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:04:06.001Z] 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.
[2025-08-25T22:04:06.001Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:04:06.001Z] Top recommended movies for user id 72:
[2025-08-25T22:04:06.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:04:06.001Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:04:06.001Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:04:06.001Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:04:06.001Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:04:06.001Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23531.817 ms) ======
[2025-08-25T22:04:06.001Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-25T22:04:06.001Z] GC before operation: completed in 213.241 ms, heap usage 620.395 MB -> 92.778 MB.
[2025-08-25T22:04:10.695Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:04:13.375Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:04:16.816Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:04:20.255Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:04:22.746Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:04:25.267Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:04:26.915Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:04:29.406Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:04:29.406Z] 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.
[2025-08-25T22:04:29.406Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:04:30.179Z] Top recommended movies for user id 72:
[2025-08-25T22:04:30.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:04:30.179Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:04:30.179Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:04:30.179Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:04:30.180Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:04:30.180Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23620.322 ms) ======
[2025-08-25T22:04:30.180Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-25T22:04:30.180Z] GC before operation: completed in 241.501 ms, heap usage 392.898 MB -> 92.401 MB.
[2025-08-25T22:04:33.624Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:04:37.067Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:04:41.572Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:04:44.057Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:04:46.714Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:04:48.320Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:04:50.833Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:04:53.334Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:04:53.334Z] 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.
[2025-08-25T22:04:53.334Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:04:53.334Z] Top recommended movies for user id 72:
[2025-08-25T22:04:53.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:04:53.334Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:04:53.334Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:04:53.334Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:04:53.334Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:04:53.334Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23488.838 ms) ======
[2025-08-25T22:04:53.335Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-25T22:04:54.110Z] GC before operation: completed in 209.820 ms, heap usage 452.323 MB -> 92.489 MB.
[2025-08-25T22:04:57.560Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:05:01.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:05:04.814Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:05:08.265Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:05:09.868Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:05:12.361Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:05:14.845Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:05:16.585Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:05:16.585Z] 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.
[2025-08-25T22:05:16.585Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:05:17.363Z] Top recommended movies for user id 72:
[2025-08-25T22:05:17.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:05:17.363Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:05:17.363Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:05:17.363Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:05:17.363Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:05:17.363Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23411.503 ms) ======
[2025-08-25T22:05:17.363Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-25T22:05:17.363Z] GC before operation: completed in 243.134 ms, heap usage 752.883 MB -> 95.942 MB.
[2025-08-25T22:05:20.807Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:05:24.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:05:28.738Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:05:31.223Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:05:33.708Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:05:36.202Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:05:38.704Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:05:40.320Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:05:41.096Z] 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.
[2025-08-25T22:05:41.096Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:05:41.096Z] Top recommended movies for user id 72:
[2025-08-25T22:05:41.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:05:41.096Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:05:41.096Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:05:41.096Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:05:41.096Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:05:41.096Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23549.227 ms) ======
[2025-08-25T22:05:41.096Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-25T22:05:41.096Z] GC before operation: completed in 255.008 ms, heap usage 362.034 MB -> 92.397 MB.
[2025-08-25T22:05:45.580Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-25T22:05:48.070Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-25T22:05:52.794Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-25T22:05:55.314Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-25T22:05:57.802Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-25T22:06:00.294Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-25T22:06:01.894Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-25T22:06:04.394Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-25T22:06:04.394Z] 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.
[2025-08-25T22:06:04.394Z] The best model improves the baseline by 14.43%.
[2025-08-25T22:06:05.172Z] Top recommended movies for user id 72:
[2025-08-25T22:06:05.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-25T22:06:05.172Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-25T22:06:05.172Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-25T22:06:05.172Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-25T22:06:05.172Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-25T22:06:05.172Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23604.162 ms) ======
[2025-08-25T22:06:05.172Z] -----------------------------------
[2025-08-25T22:06:05.172Z] renaissance-movie-lens_0_PASSED
[2025-08-25T22:06:05.172Z] -----------------------------------
[2025-08-25T22:06:05.172Z]
[2025-08-25T22:06:05.172Z] TEST TEARDOWN:
[2025-08-25T22:06:05.172Z] Nothing to be done for teardown.
[2025-08-25T22:06:05.172Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 22:06:05 2025 Epoch Time (ms): 1756159565061