renaissance-movie-lens_0
[2025-05-28T21:01:06.608Z] Running test renaissance-movie-lens_0 ...
[2025-05-28T21:01:06.608Z] ===============================================
[2025-05-28T21:01:06.608Z] renaissance-movie-lens_0 Start Time: Wed May 28 21:01:05 2025 Epoch Time (ms): 1748466065677
[2025-05-28T21:01:06.608Z] variation: NoOptions
[2025-05-28T21:01:06.608Z] JVM_OPTIONS:
[2025-05-28T21:01:06.608Z] { \
[2025-05-28T21:01:06.608Z] echo ""; echo "TEST SETUP:"; \
[2025-05-28T21:01:06.608Z] echo "Nothing to be done for setup."; \
[2025-05-28T21:01:06.608Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484648193972/renaissance-movie-lens_0"; \
[2025-05-28T21:01:06.608Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484648193972/renaissance-movie-lens_0"; \
[2025-05-28T21:01:06.608Z] echo ""; echo "TESTING:"; \
[2025-05-28T21:01:06.608Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484648193972/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-28T21:01:06.608Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484648193972/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-28T21:01:06.608Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-28T21:01:06.608Z] echo "Nothing to be done for teardown."; \
[2025-05-28T21:01:06.608Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17484648193972/TestTargetResult";
[2025-05-28T21:01:06.608Z]
[2025-05-28T21:01:06.608Z] TEST SETUP:
[2025-05-28T21:01:06.608Z] Nothing to be done for setup.
[2025-05-28T21:01:06.608Z]
[2025-05-28T21:01:06.608Z] TESTING:
[2025-05-28T21:01:13.532Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-05-28T21:01:25.214Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-28T21:01:25.214Z] Training: 60056, validation: 20285, test: 19854
[2025-05-28T21:01:25.214Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-28T21:01:25.214Z] GC before operation: completed in 155.610 ms, heap usage 618.733 MB -> 75.730 MB.
[2025-05-28T21:01:29.746Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:01:33.152Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:01:36.548Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:01:39.946Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:01:41.525Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:01:43.109Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:01:45.572Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:01:47.171Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:01:48.138Z] 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.
[2025-05-28T21:01:48.138Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:01:48.138Z] Top recommended movies for user id 72:
[2025-05-28T21:01:48.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:01:48.138Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:01:48.138Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:01:48.138Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:01:48.138Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:01:48.138Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23074.882 ms) ======
[2025-05-28T21:01:48.138Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-28T21:01:48.138Z] GC before operation: completed in 183.402 ms, heap usage 230.912 MB -> 90.222 MB.
[2025-05-28T21:01:51.578Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:01:55.002Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:01:57.541Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:02:00.947Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:02:02.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:02:04.969Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:02:06.543Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:02:09.009Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:02:09.009Z] 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.
[2025-05-28T21:02:09.009Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:02:09.009Z] Top recommended movies for user id 72:
[2025-05-28T21:02:09.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:02:09.009Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:02:09.009Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:02:09.009Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:02:09.009Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:02:09.009Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21144.536 ms) ======
[2025-05-28T21:02:09.009Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-28T21:02:09.831Z] GC before operation: completed in 130.277 ms, heap usage 153.842 MB -> 89.819 MB.
[2025-05-28T21:02:12.280Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:02:15.678Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:02:20.260Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:02:22.722Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:02:24.313Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:02:25.887Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:02:27.461Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:02:29.910Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:02:29.910Z] 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.
[2025-05-28T21:02:29.910Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:02:29.910Z] Top recommended movies for user id 72:
[2025-05-28T21:02:29.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:02:29.910Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:02:29.910Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:02:29.910Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:02:29.910Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:02:29.910Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20690.512 ms) ======
[2025-05-28T21:02:29.910Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-28T21:02:30.706Z] GC before operation: completed in 138.648 ms, heap usage 346.170 MB -> 90.764 MB.
[2025-05-28T21:02:33.160Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:02:36.566Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:02:39.973Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:02:42.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:02:44.914Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:02:46.498Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:02:48.073Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:02:49.648Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:02:50.410Z] 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.
[2025-05-28T21:02:50.410Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:02:50.410Z] Top recommended movies for user id 72:
[2025-05-28T21:02:50.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:02:50.410Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:02:50.410Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:02:50.410Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:02:50.410Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:02:50.410Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20121.436 ms) ======
[2025-05-28T21:02:50.410Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-28T21:02:50.410Z] GC before operation: completed in 147.324 ms, heap usage 2.729 GB -> 97.373 MB.
[2025-05-28T21:02:53.809Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:02:56.258Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:02:59.645Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:03:02.104Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:03:03.693Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:03:05.270Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:03:06.850Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:03:09.347Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:03:09.347Z] 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.
[2025-05-28T21:03:09.347Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:03:09.347Z] Top recommended movies for user id 72:
[2025-05-28T21:03:09.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:03:09.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:03:09.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:03:09.347Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:03:09.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:03:09.347Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18808.856 ms) ======
[2025-05-28T21:03:09.347Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-28T21:03:09.347Z] GC before operation: completed in 130.048 ms, heap usage 2.528 GB -> 97.176 MB.
[2025-05-28T21:03:12.745Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:03:15.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:03:18.624Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:03:22.024Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:03:23.603Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:03:26.048Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:03:27.623Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:03:29.205Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:03:29.968Z] 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.
[2025-05-28T21:03:29.968Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:03:29.968Z] Top recommended movies for user id 72:
[2025-05-28T21:03:29.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:03:29.968Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:03:29.968Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:03:29.968Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:03:29.968Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:03:29.968Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20534.053 ms) ======
[2025-05-28T21:03:29.968Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-28T21:03:29.968Z] GC before operation: completed in 117.398 ms, heap usage 180.318 MB -> 91.178 MB.
[2025-05-28T21:03:33.358Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:03:35.846Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:03:39.244Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:03:42.654Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:03:44.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:03:45.827Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:03:48.286Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:03:49.871Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:03:49.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-28T21:03:49.871Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:03:50.634Z] Top recommended movies for user id 72:
[2025-05-28T21:03:50.634Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:03:50.634Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:03:50.634Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:03:50.634Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:03:50.634Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:03:50.634Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20121.539 ms) ======
[2025-05-28T21:03:50.634Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-28T21:03:50.634Z] GC before operation: completed in 128.905 ms, heap usage 147.038 MB -> 91.100 MB.
[2025-05-28T21:03:53.088Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:03:56.489Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:03:59.889Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:04:02.341Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:04:03.934Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:04:05.518Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:04:07.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:04:09.574Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:04:09.574Z] 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.
[2025-05-28T21:04:09.574Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:04:09.574Z] Top recommended movies for user id 72:
[2025-05-28T21:04:09.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:04:09.574Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:04:09.574Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:04:09.574Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:04:09.574Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:04:09.574Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19401.806 ms) ======
[2025-05-28T21:04:09.574Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-28T21:04:10.341Z] GC before operation: completed in 137.816 ms, heap usage 1.214 GB -> 96.328 MB.
[2025-05-28T21:04:12.791Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:04:16.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:04:19.611Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:04:22.071Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:04:24.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:04:26.102Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:04:27.691Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:04:29.273Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:04:30.037Z] 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.
[2025-05-28T21:04:30.037Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:04:30.037Z] Top recommended movies for user id 72:
[2025-05-28T21:04:30.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:04:30.037Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:04:30.037Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:04:30.037Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:04:30.037Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:04:30.037Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20014.741 ms) ======
[2025-05-28T21:04:30.037Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-28T21:04:30.037Z] GC before operation: completed in 125.708 ms, heap usage 181.883 MB -> 91.078 MB.
[2025-05-28T21:04:33.433Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:04:35.881Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:04:39.281Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:04:42.689Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:04:44.310Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:04:45.889Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:04:48.337Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:04:49.954Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:04:49.954Z] 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.
[2025-05-28T21:04:49.954Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:04:49.954Z] Top recommended movies for user id 72:
[2025-05-28T21:04:49.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:04:50.722Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:04:50.722Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:04:50.722Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:04:50.722Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:04:50.722Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20233.911 ms) ======
[2025-05-28T21:04:50.722Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-28T21:04:50.722Z] GC before operation: completed in 126.447 ms, heap usage 310.263 MB -> 91.569 MB.
[2025-05-28T21:04:53.184Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:04:56.624Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:05:00.034Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:05:02.486Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:05:04.931Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:05:06.505Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:05:08.083Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:05:09.664Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:05:10.426Z] 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.
[2025-05-28T21:05:10.426Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:05:10.426Z] Top recommended movies for user id 72:
[2025-05-28T21:05:10.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:05:10.426Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:05:10.426Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:05:10.426Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:05:10.426Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:05:10.426Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19898.519 ms) ======
[2025-05-28T21:05:10.426Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-28T21:05:10.426Z] GC before operation: completed in 130.976 ms, heap usage 2.379 GB -> 97.617 MB.
[2025-05-28T21:05:13.830Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:05:16.285Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:05:19.696Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:05:23.264Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:05:24.846Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:05:26.420Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:05:28.878Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:05:30.453Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:05:30.453Z] 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.
[2025-05-28T21:05:30.453Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:05:30.453Z] Top recommended movies for user id 72:
[2025-05-28T21:05:30.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:05:30.453Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:05:30.453Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:05:30.453Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:05:30.453Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:05:30.453Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20181.889 ms) ======
[2025-05-28T21:05:30.453Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-28T21:05:30.453Z] GC before operation: completed in 126.210 ms, heap usage 1.233 GB -> 96.482 MB.
[2025-05-28T21:05:33.847Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:05:37.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:05:39.691Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:05:42.147Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:05:44.597Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:05:46.173Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:05:47.748Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:05:49.326Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:05:50.086Z] 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.
[2025-05-28T21:05:50.086Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:05:50.086Z] Top recommended movies for user id 72:
[2025-05-28T21:05:50.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:05:50.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:05:50.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:05:50.086Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:05:50.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:05:50.086Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19214.779 ms) ======
[2025-05-28T21:05:50.086Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-28T21:05:50.086Z] GC before operation: completed in 142.529 ms, heap usage 522.566 MB -> 91.909 MB.
[2025-05-28T21:05:53.628Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:05:56.091Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:05:59.497Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:06:01.943Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:06:03.530Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:06:05.105Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:06:07.551Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:06:09.176Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:06:09.176Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-28T21:06:09.176Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:06:09.176Z] Top recommended movies for user id 72:
[2025-05-28T21:06:09.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:06:09.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:06:09.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:06:09.176Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:06:09.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:06:09.176Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19048.778 ms) ======
[2025-05-28T21:06:09.176Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-28T21:06:09.176Z] GC before operation: completed in 136.498 ms, heap usage 972.217 MB -> 95.543 MB.
[2025-05-28T21:06:12.578Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:06:15.033Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:06:18.436Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:06:20.890Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:06:22.489Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:06:24.066Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:06:25.640Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:06:27.223Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:06:27.223Z] 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.
[2025-05-28T21:06:27.223Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:06:27.991Z] Top recommended movies for user id 72:
[2025-05-28T21:06:27.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:06:27.991Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:06:27.991Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:06:27.991Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:06:27.991Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:06:27.991Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18359.508 ms) ======
[2025-05-28T21:06:27.991Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-28T21:06:27.991Z] GC before operation: completed in 147.857 ms, heap usage 1.469 GB -> 97.082 MB.
[2025-05-28T21:06:30.445Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:06:33.886Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:06:36.342Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:06:39.742Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:06:41.318Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:06:42.898Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:06:45.349Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:06:46.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:06:46.926Z] 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.
[2025-05-28T21:06:46.926Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:06:46.926Z] Top recommended movies for user id 72:
[2025-05-28T21:06:46.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:06:46.926Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:06:46.926Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:06:46.926Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:06:46.926Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:06:46.926Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19306.656 ms) ======
[2025-05-28T21:06:46.926Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-28T21:06:46.926Z] GC before operation: completed in 122.910 ms, heap usage 312.201 MB -> 91.898 MB.
[2025-05-28T21:06:50.319Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:06:53.796Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:06:56.245Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:06:59.637Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:07:01.221Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:07:02.800Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:07:05.267Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:07:06.853Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:07:06.853Z] 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.
[2025-05-28T21:07:06.853Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:07:06.853Z] Top recommended movies for user id 72:
[2025-05-28T21:07:06.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:07:06.853Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:07:06.853Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:07:06.853Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:07:06.853Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:07:06.853Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19793.048 ms) ======
[2025-05-28T21:07:06.853Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-28T21:07:06.853Z] GC before operation: completed in 130.599 ms, heap usage 933.984 MB -> 95.754 MB.
[2025-05-28T21:07:10.420Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:07:12.879Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:07:16.275Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:07:18.726Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:07:21.179Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:07:22.765Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:07:24.347Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:07:25.973Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:07:25.973Z] 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.
[2025-05-28T21:07:25.973Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:07:26.773Z] Top recommended movies for user id 72:
[2025-05-28T21:07:26.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:07:26.773Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:07:26.773Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:07:26.773Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:07:26.773Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:07:26.773Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19264.090 ms) ======
[2025-05-28T21:07:26.773Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-28T21:07:26.773Z] GC before operation: completed in 131.042 ms, heap usage 2.341 GB -> 97.976 MB.
[2025-05-28T21:07:29.224Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:07:32.643Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:07:35.115Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:07:37.573Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:07:40.056Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:07:41.630Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:07:43.212Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:07:44.795Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:07:44.795Z] 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.
[2025-05-28T21:07:44.795Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:07:44.795Z] Top recommended movies for user id 72:
[2025-05-28T21:07:44.795Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:07:44.795Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:07:44.795Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:07:44.795Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:07:44.795Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:07:44.795Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18421.778 ms) ======
[2025-05-28T21:07:44.795Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-28T21:07:44.795Z] GC before operation: completed in 127.015 ms, heap usage 2.519 GB -> 97.983 MB.
[2025-05-28T21:07:48.196Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-28T21:07:51.595Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-28T21:07:54.230Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-28T21:07:57.629Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-28T21:07:59.205Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-28T21:08:00.788Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-28T21:08:03.247Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-28T21:08:04.851Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-28T21:08:04.851Z] 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.
[2025-05-28T21:08:04.851Z] The best model improves the baseline by 14.43%.
[2025-05-28T21:08:04.851Z] Top recommended movies for user id 72:
[2025-05-28T21:08:04.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-28T21:08:04.851Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-28T21:08:04.851Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-28T21:08:04.851Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-28T21:08:04.851Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-28T21:08:04.851Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20038.620 ms) ======
[2025-05-28T21:08:05.613Z] -----------------------------------
[2025-05-28T21:08:05.613Z] renaissance-movie-lens_0_PASSED
[2025-05-28T21:08:05.613Z] -----------------------------------
[2025-05-28T21:08:05.613Z]
[2025-05-28T21:08:05.613Z] TEST TEARDOWN:
[2025-05-28T21:08:05.613Z] Nothing to be done for teardown.
[2025-05-28T21:08:05.613Z] renaissance-movie-lens_0 Finish Time: Wed May 28 21:08:05 2025 Epoch Time (ms): 1748466485357