renaissance-movie-lens_0
[2025-09-24T22:05:06.477Z] Running test renaissance-movie-lens_0 ...
[2025-09-24T22:05:06.477Z] ===============================================
[2025-09-24T22:05:06.477Z] renaissance-movie-lens_0 Start Time: Wed Sep 24 23:05:06 2025 Epoch Time (ms): 1758751506370
[2025-09-24T22:05:06.477Z] variation: NoOptions
[2025-09-24T22:05:06.477Z] JVM_OPTIONS:
[2025-09-24T22:05:06.477Z] { \
[2025-09-24T22:05:06.477Z] echo ""; echo "TEST SETUP:"; \
[2025-09-24T22:05:06.477Z] echo "Nothing to be done for setup."; \
[2025-09-24T22:05:06.477Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17587457112658/renaissance-movie-lens_0"; \
[2025-09-24T22:05:06.477Z] cd "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17587457112658/renaissance-movie-lens_0"; \
[2025-09-24T22:05:06.477Z] echo ""; echo "TESTING:"; \
[2025-09-24T22:05:06.477Z] "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17587457112658/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-09-24T22:05:06.477Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17587457112658/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-09-24T22:05:06.477Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-09-24T22:05:06.477Z] echo "Nothing to be done for teardown."; \
[2025-09-24T22:05:06.477Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17587457112658/TestTargetResult";
[2025-09-24T22:05:06.477Z]
[2025-09-24T22:05:06.477Z] TEST SETUP:
[2025-09-24T22:05:06.477Z] Nothing to be done for setup.
[2025-09-24T22:05:06.477Z]
[2025-09-24T22:05:06.478Z] TESTING:
[2025-09-24T22:05:12.601Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-09-24T22:05:21.773Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-09-24T22:05:22.132Z] Training: 60056, validation: 20285, test: 19854
[2025-09-24T22:05:22.132Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-09-24T22:05:22.132Z] GC before operation: completed in 97.491 ms, heap usage 332.523 MB -> 76.321 MB.
[2025-09-24T22:05:41.668Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:05:52.784Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:06:09.001Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:06:18.165Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:06:25.680Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:06:30.623Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:06:39.821Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:06:45.961Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:06:45.961Z] 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.
[2025-09-24T22:06:45.961Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:06:45.961Z] Top recommended movies for user id 72:
[2025-09-24T22:06:45.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:06:45.961Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:06:45.961Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:06:45.961Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:06:45.961Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:06:45.961Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (84056.315 ms) ======
[2025-09-24T22:06:45.961Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-09-24T22:06:46.313Z] GC before operation: completed in 116.087 ms, heap usage 672.663 MB -> 95.219 MB.
[2025-09-24T22:06:59.817Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:07:10.614Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:07:24.090Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:07:35.252Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:07:41.385Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:07:47.550Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:07:55.060Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:08:00.031Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:08:00.385Z] 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.
[2025-09-24T22:08:00.385Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:08:00.385Z] Top recommended movies for user id 72:
[2025-09-24T22:08:00.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:08:00.385Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:08:00.385Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:08:00.385Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:08:00.385Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:08:00.385Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (74252.205 ms) ======
[2025-09-24T22:08:00.385Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-09-24T22:08:00.738Z] GC before operation: completed in 111.463 ms, heap usage 731.950 MB -> 119.612 MB.
[2025-09-24T22:08:14.264Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:08:25.385Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:08:38.848Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:08:49.958Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:08:54.907Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:09:01.103Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:09:08.616Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:09:13.566Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:09:13.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-09-24T22:09:13.566Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:09:13.918Z] Top recommended movies for user id 72:
[2025-09-24T22:09:13.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:09:13.918Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:09:13.918Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:09:13.918Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:09:13.918Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:09:13.918Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (73171.019 ms) ======
[2025-09-24T22:09:13.918Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-09-24T22:09:13.918Z] GC before operation: completed in 124.617 ms, heap usage 821.464 MB -> 119.801 MB.
[2025-09-24T22:09:27.366Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:09:38.520Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:09:51.991Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:10:01.145Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:10:07.365Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:10:13.489Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:10:21.026Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:10:25.979Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:10:26.332Z] 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.
[2025-09-24T22:10:26.332Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:10:26.688Z] Top recommended movies for user id 72:
[2025-09-24T22:10:26.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:10:26.688Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:10:26.688Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:10:26.688Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:10:26.688Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:10:26.688Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (72755.197 ms) ======
[2025-09-24T22:10:26.688Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-09-24T22:10:26.688Z] GC before operation: completed in 104.692 ms, heap usage 907.858 MB -> 105.035 MB.
[2025-09-24T22:10:40.136Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:10:51.257Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:11:04.710Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:11:13.877Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:11:20.020Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:11:26.146Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:11:33.670Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:11:38.711Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:11:39.065Z] 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.
[2025-09-24T22:11:39.065Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:11:39.065Z] Top recommended movies for user id 72:
[2025-09-24T22:11:39.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:11:39.065Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:11:39.065Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:11:39.065Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:11:39.065Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:11:39.065Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (72470.320 ms) ======
[2025-09-24T22:11:39.065Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-09-24T22:11:39.427Z] GC before operation: completed in 107.997 ms, heap usage 450.636 MB -> 100.549 MB.
[2025-09-24T22:11:52.874Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:12:04.000Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:12:17.454Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:12:26.620Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:12:32.747Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:12:38.895Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:12:46.435Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:12:51.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:12:51.416Z] 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.
[2025-09-24T22:12:51.416Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:12:51.416Z] Top recommended movies for user id 72:
[2025-09-24T22:12:51.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:12:51.416Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:12:51.416Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:12:51.416Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:12:51.416Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:12:51.416Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (72124.020 ms) ======
[2025-09-24T22:12:51.416Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-09-24T22:12:51.416Z] GC before operation: completed in 101.938 ms, heap usage 622.566 MB -> 120.966 MB.
[2025-09-24T22:13:04.867Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:13:15.998Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:13:29.450Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:13:38.619Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:13:44.771Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:13:51.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:13:58.776Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:14:03.226Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:14:03.588Z] 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.
[2025-09-24T22:14:03.588Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:14:03.942Z] Top recommended movies for user id 72:
[2025-09-24T22:14:03.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:14:03.942Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:14:03.942Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:14:03.942Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:14:03.942Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:14:03.942Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (72379.364 ms) ======
[2025-09-24T22:14:03.942Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-09-24T22:14:03.942Z] GC before operation: completed in 103.595 ms, heap usage 627.238 MB -> 108.440 MB.
[2025-09-24T22:14:17.389Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:14:28.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:14:42.051Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:14:51.250Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:14:57.390Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:15:04.911Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:15:12.441Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:15:17.402Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:15:17.402Z] 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.
[2025-09-24T22:15:17.402Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:15:17.402Z] Top recommended movies for user id 72:
[2025-09-24T22:15:17.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:15:17.402Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:15:17.402Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:15:17.402Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:15:17.402Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:15:17.402Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73453.032 ms) ======
[2025-09-24T22:15:17.402Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-09-24T22:15:17.756Z] GC before operation: completed in 97.619 ms, heap usage 1.365 GB -> 103.226 MB.
[2025-09-24T22:15:31.223Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:15:42.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:15:55.831Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:16:05.018Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:16:11.161Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:16:16.120Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:16:23.784Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:16:28.750Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:16:28.750Z] 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.
[2025-09-24T22:16:28.750Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:16:29.107Z] Top recommended movies for user id 72:
[2025-09-24T22:16:29.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:16:29.107Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:16:29.107Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:16:29.107Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:16:29.107Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:16:29.107Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71557.605 ms) ======
[2025-09-24T22:16:29.107Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-09-24T22:16:29.107Z] GC before operation: completed in 101.062 ms, heap usage 581.461 MB -> 120.851 MB.
[2025-09-24T22:16:42.571Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:16:53.707Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:17:07.173Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:17:16.354Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:17:22.484Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:17:28.617Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:17:36.139Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:17:41.085Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:17:41.085Z] 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.
[2025-09-24T22:17:41.085Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:17:41.439Z] Top recommended movies for user id 72:
[2025-09-24T22:17:41.439Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:17:41.439Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:17:41.439Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:17:41.439Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:17:41.439Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:17:41.439Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (72045.770 ms) ======
[2025-09-24T22:17:41.439Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-09-24T22:17:41.439Z] GC before operation: completed in 102.237 ms, heap usage 583.194 MB -> 121.105 MB.
[2025-09-24T22:17:54.910Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:18:06.069Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:18:19.533Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:18:28.714Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:18:34.854Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:18:40.991Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:18:48.524Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:18:53.490Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:18:53.490Z] 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.
[2025-09-24T22:18:53.490Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:18:53.490Z] Top recommended movies for user id 72:
[2025-09-24T22:18:53.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:18:53.490Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:18:53.490Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:18:53.490Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:18:53.490Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:18:53.490Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (72164.464 ms) ======
[2025-09-24T22:18:53.490Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-09-24T22:18:53.490Z] GC before operation: completed in 105.651 ms, heap usage 838.347 MB -> 120.792 MB.
[2025-09-24T22:19:06.949Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:19:20.405Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:19:33.892Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:19:56.024Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:20:00.980Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:20:07.097Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:20:14.622Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:20:20.756Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:20:20.756Z] 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.
[2025-09-24T22:20:20.756Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:20:20.756Z] Top recommended movies for user id 72:
[2025-09-24T22:20:20.756Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:20:20.756Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:20:20.756Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:20:20.756Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:20:20.756Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:20:20.756Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (86790.155 ms) ======
[2025-09-24T22:20:20.756Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-09-24T22:20:20.756Z] GC before operation: completed in 94.176 ms, heap usage 291.610 MB -> 104.807 MB.
[2025-09-24T22:20:34.209Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:20:45.341Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:20:58.793Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:21:08.011Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:21:14.142Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:21:20.284Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:21:27.801Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:21:33.931Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:21:33.931Z] 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.
[2025-09-24T22:21:33.931Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:21:33.931Z] Top recommended movies for user id 72:
[2025-09-24T22:21:33.931Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:21:33.931Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:21:33.931Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:21:33.931Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:21:33.931Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:21:33.931Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (73144.064 ms) ======
[2025-09-24T22:21:33.931Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-09-24T22:21:33.931Z] GC before operation: completed in 104.766 ms, heap usage 1.003 GB -> 121.242 MB.
[2025-09-24T22:21:47.417Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:22:00.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:22:24.744Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:22:33.924Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:22:40.098Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:22:46.240Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:22:53.773Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:22:58.732Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:22:58.732Z] 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.
[2025-09-24T22:22:58.732Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:22:59.088Z] Top recommended movies for user id 72:
[2025-09-24T22:22:59.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:22:59.088Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:22:59.089Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:22:59.089Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:22:59.089Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:22:59.089Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (85225.763 ms) ======
[2025-09-24T22:22:59.089Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-09-24T22:22:59.089Z] GC before operation: completed in 101.797 ms, heap usage 989.356 MB -> 106.406 MB.
[2025-09-24T22:23:12.575Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:23:23.709Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:23:53.753Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:24:02.926Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:24:09.063Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:24:15.206Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:24:21.340Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:24:27.481Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:24:27.481Z] 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.
[2025-09-24T22:24:27.481Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:24:27.481Z] Top recommended movies for user id 72:
[2025-09-24T22:24:27.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:24:27.481Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:24:27.481Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:24:27.481Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:24:27.481Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:24:27.481Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (88189.258 ms) ======
[2025-09-24T22:24:27.481Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-09-24T22:24:27.481Z] GC before operation: completed in 110.129 ms, heap usage 380.878 MB -> 119.808 MB.
[2025-09-24T22:24:38.633Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:24:52.122Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:25:05.579Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:25:14.758Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:25:20.886Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:25:27.022Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:25:34.924Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:25:38.939Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:25:39.299Z] 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.
[2025-09-24T22:25:39.299Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:25:39.654Z] Top recommended movies for user id 72:
[2025-09-24T22:25:39.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:25:39.654Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:25:39.654Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:25:39.654Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:25:39.654Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:25:39.654Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (72109.901 ms) ======
[2025-09-24T22:25:39.654Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-09-24T22:25:39.654Z] GC before operation: completed in 102.342 ms, heap usage 363.848 MB -> 120.898 MB.
[2025-09-24T22:25:53.139Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:26:19.620Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:26:33.073Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:26:44.229Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:26:50.362Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:26:56.493Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:27:05.666Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:27:12.425Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:27:12.425Z] 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.
[2025-09-24T22:27:12.425Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:27:12.425Z] Top recommended movies for user id 72:
[2025-09-24T22:27:12.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:27:12.425Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:27:12.425Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:27:12.425Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:27:12.425Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:27:12.425Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (92938.252 ms) ======
[2025-09-24T22:27:12.425Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-09-24T22:27:12.801Z] GC before operation: completed in 116.518 ms, heap usage 1.525 GB -> 121.695 MB.
[2025-09-24T22:27:26.252Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:27:49.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:28:03.060Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:28:14.183Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:28:20.318Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:28:25.278Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:28:32.809Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:28:37.787Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:28:38.547Z] 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.
[2025-09-24T22:28:38.547Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:28:38.547Z] Top recommended movies for user id 72:
[2025-09-24T22:28:38.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:28:38.547Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:28:38.547Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:28:38.547Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:28:38.547Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:28:38.547Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (85852.582 ms) ======
[2025-09-24T22:28:38.547Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-09-24T22:28:38.547Z] GC before operation: completed in 107.863 ms, heap usage 895.148 MB -> 121.124 MB.
[2025-09-24T22:28:52.034Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:29:15.276Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:29:28.743Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:29:39.912Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:29:47.437Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:29:53.600Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:30:02.790Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:30:08.933Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:30:08.933Z] 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.
[2025-09-24T22:30:08.933Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:30:08.933Z] Top recommended movies for user id 72:
[2025-09-24T22:30:08.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:30:08.933Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:30:08.933Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:30:08.933Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:30:08.933Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:30:08.933Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (90428.491 ms) ======
[2025-09-24T22:30:08.933Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-09-24T22:30:09.294Z] GC before operation: completed in 111.196 ms, heap usage 182.292 MB -> 120.831 MB.
[2025-09-24T22:30:22.762Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-09-24T22:30:45.652Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-09-24T22:30:59.271Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-09-24T22:31:10.476Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-09-24T22:31:15.437Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-09-24T22:31:21.562Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-09-24T22:31:29.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-09-24T22:31:34.031Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-09-24T22:31:34.031Z] 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.
[2025-09-24T22:31:34.031Z] The best model improves the baseline by 14.43%.
[2025-09-24T22:31:34.384Z] Top recommended movies for user id 72:
[2025-09-24T22:31:34.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-09-24T22:31:34.384Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-09-24T22:31:34.384Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-09-24T22:31:34.384Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-09-24T22:31:34.384Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-09-24T22:31:34.384Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85188.751 ms) ======
[2025-09-24T22:31:36.139Z] -----------------------------------
[2025-09-24T22:31:36.139Z] renaissance-movie-lens_0_PASSED
[2025-09-24T22:31:36.139Z] -----------------------------------
[2025-09-24T22:31:36.139Z]
[2025-09-24T22:31:36.139Z] TEST TEARDOWN:
[2025-09-24T22:31:36.139Z] Nothing to be done for teardown.
[2025-09-24T22:31:36.139Z] renaissance-movie-lens_0 Finish Time: Wed Sep 24 23:31:35 2025 Epoch Time (ms): 1758753095667