renaissance-movie-lens_0
[2025-05-16T21:01:11.003Z] Running test renaissance-movie-lens_0 ...
[2025-05-16T21:01:11.003Z] ===============================================
[2025-05-16T21:01:11.003Z] renaissance-movie-lens_0 Start Time: Fri May 16 21:01:10 2025 Epoch Time (ms): 1747429270207
[2025-05-16T21:01:11.003Z] variation: NoOptions
[2025-05-16T21:01:11.003Z] JVM_OPTIONS:
[2025-05-16T21:01:11.003Z] { \
[2025-05-16T21:01:11.003Z] echo ""; echo "TEST SETUP:"; \
[2025-05-16T21:01:11.003Z] echo "Nothing to be done for setup."; \
[2025-05-16T21:01:11.003Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1747428047185/renaissance-movie-lens_0"; \
[2025-05-16T21:01:11.003Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1747428047185/renaissance-movie-lens_0"; \
[2025-05-16T21:01:11.003Z] echo ""; echo "TESTING:"; \
[2025-05-16T21:01:11.003Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1747428047185/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-16T21:01:11.003Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1747428047185/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-16T21:01:11.003Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-16T21:01:11.003Z] echo "Nothing to be done for teardown."; \
[2025-05-16T21:01:11.003Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1747428047185/TestTargetResult";
[2025-05-16T21:01:11.003Z]
[2025-05-16T21:01:11.003Z] TEST SETUP:
[2025-05-16T21:01:11.003Z] Nothing to be done for setup.
[2025-05-16T21:01:11.003Z]
[2025-05-16T21:01:11.003Z] TESTING:
[2025-05-16T21:01:17.886Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-05-16T21:01:29.700Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-16T21:01:29.700Z] Training: 60056, validation: 20285, test: 19854
[2025-05-16T21:01:29.700Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-16T21:01:29.700Z] GC before operation: completed in 135.687 ms, heap usage 434.936 MB -> 75.590 MB.
[2025-05-16T21:01:35.461Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:01:39.097Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:01:42.583Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:01:45.161Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:01:47.655Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:01:49.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:01:51.791Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:01:53.397Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:01:53.397Z] 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.
[2025-05-16T21:01:53.397Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:01:54.171Z] Top recommended movies for user id 72:
[2025-05-16T21:01:54.171Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:01:54.171Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:01:54.171Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:01:54.171Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:01:54.171Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:01:54.171Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24722.710 ms) ======
[2025-05-16T21:01:54.171Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-16T21:01:54.171Z] GC before operation: completed in 191.982 ms, heap usage 261.738 MB -> 93.973 MB.
[2025-05-16T21:01:57.645Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:02:01.110Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:02:04.540Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:02:07.040Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:02:09.560Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:02:11.160Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:02:13.637Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:02:15.234Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:02:16.006Z] 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.
[2025-05-16T21:02:16.007Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:02:16.007Z] Top recommended movies for user id 72:
[2025-05-16T21:02:16.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:02:16.007Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:02:16.007Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:02:16.007Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:02:16.007Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:02:16.007Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21758.150 ms) ======
[2025-05-16T21:02:16.007Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-16T21:02:16.007Z] GC before operation: completed in 173.624 ms, heap usage 427.277 MB -> 90.065 MB.
[2025-05-16T21:02:19.440Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:02:22.876Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:02:26.309Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:02:29.777Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:02:31.387Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:02:33.000Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:02:34.595Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:02:37.092Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:02:37.092Z] 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.
[2025-05-16T21:02:37.092Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:02:37.092Z] Top recommended movies for user id 72:
[2025-05-16T21:02:37.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:02:37.092Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:02:37.092Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:02:37.092Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:02:37.092Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:02:37.092Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21035.034 ms) ======
[2025-05-16T21:02:37.092Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-16T21:02:37.092Z] GC before operation: completed in 176.407 ms, heap usage 3.125 GB -> 99.628 MB.
[2025-05-16T21:02:40.552Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:02:43.984Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:02:46.461Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:02:49.908Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:02:51.638Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:02:53.232Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:02:54.826Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:02:57.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:02:57.306Z] 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.
[2025-05-16T21:02:57.306Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:02:57.306Z] Top recommended movies for user id 72:
[2025-05-16T21:02:57.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:02:57.306Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:02:57.306Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:02:57.306Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:02:57.306Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:02:57.306Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20081.326 ms) ======
[2025-05-16T21:02:57.306Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-16T21:02:57.306Z] GC before operation: completed in 196.750 ms, heap usage 2.932 GB -> 101.089 MB.
[2025-05-16T21:03:00.769Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:03:04.202Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:03:07.650Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:03:10.126Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:03:12.602Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:03:14.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:03:15.799Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:03:18.287Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:03:18.287Z] 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.
[2025-05-16T21:03:18.287Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:03:18.287Z] Top recommended movies for user id 72:
[2025-05-16T21:03:18.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:03:18.288Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:03:18.288Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:03:18.288Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:03:18.288Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:03:18.288Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20782.226 ms) ======
[2025-05-16T21:03:18.288Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-16T21:03:18.288Z] GC before operation: completed in 177.302 ms, heap usage 1.347 GB -> 96.127 MB.
[2025-05-16T21:03:21.733Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:03:25.186Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:03:28.621Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:03:31.099Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:03:33.580Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:03:35.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:03:36.763Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:03:38.362Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:03:39.133Z] 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.
[2025-05-16T21:03:39.133Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:03:39.133Z] Top recommended movies for user id 72:
[2025-05-16T21:03:39.133Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:03:39.133Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:03:39.133Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:03:39.133Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:03:39.133Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:03:39.133Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20505.723 ms) ======
[2025-05-16T21:03:39.133Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-16T21:03:39.133Z] GC before operation: completed in 177.725 ms, heap usage 201.778 MB -> 95.148 MB.
[2025-05-16T21:03:42.593Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:03:46.030Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:03:49.465Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:03:52.117Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:03:53.711Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:03:55.306Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:03:57.811Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:03:59.429Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:03:59.429Z] 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.
[2025-05-16T21:03:59.429Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:03:59.429Z] Top recommended movies for user id 72:
[2025-05-16T21:03:59.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:03:59.429Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:03:59.429Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:03:59.429Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:03:59.429Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:03:59.429Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20326.276 ms) ======
[2025-05-16T21:03:59.429Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-16T21:03:59.429Z] GC before operation: completed in 185.620 ms, heap usage 2.600 GB -> 99.975 MB.
[2025-05-16T21:04:02.879Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:04:06.385Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:04:08.866Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:04:11.401Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:04:13.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:04:15.477Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:04:17.106Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:04:18.700Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:04:19.503Z] 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.
[2025-05-16T21:04:19.503Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:04:19.503Z] Top recommended movies for user id 72:
[2025-05-16T21:04:19.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:04:19.503Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:04:19.503Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:04:19.503Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:04:19.503Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:04:19.503Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19623.655 ms) ======
[2025-05-16T21:04:19.503Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-16T21:04:19.503Z] GC before operation: completed in 165.410 ms, heap usage 208.670 MB -> 96.635 MB.
[2025-05-16T21:04:22.937Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:04:26.375Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:04:29.815Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:04:32.297Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:04:33.906Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:04:36.405Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:04:38.005Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:04:39.631Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:04:39.631Z] 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.
[2025-05-16T21:04:39.631Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:04:40.405Z] Top recommended movies for user id 72:
[2025-05-16T21:04:40.405Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:04:40.405Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:04:40.405Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:04:40.405Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:04:40.405Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:04:40.405Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20525.471 ms) ======
[2025-05-16T21:04:40.405Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-16T21:04:40.405Z] GC before operation: completed in 175.994 ms, heap usage 2.306 GB -> 98.829 MB.
[2025-05-16T21:04:43.864Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:04:46.350Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:04:49.785Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:04:52.272Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:04:54.746Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:04:56.343Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:04:57.940Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:04:59.553Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:05:00.325Z] 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.
[2025-05-16T21:05:00.325Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:05:00.325Z] Top recommended movies for user id 72:
[2025-05-16T21:05:00.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:05:00.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:05:00.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:05:00.325Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:05:00.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:05:00.325Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19975.747 ms) ======
[2025-05-16T21:05:00.325Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-16T21:05:00.325Z] GC before operation: completed in 201.022 ms, heap usage 1.104 GB -> 99.617 MB.
[2025-05-16T21:05:03.766Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:05:06.252Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:05:09.688Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:05:13.116Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:05:14.726Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:05:16.317Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:05:18.805Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:05:20.424Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:05:20.424Z] 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.
[2025-05-16T21:05:20.424Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:05:21.201Z] Top recommended movies for user id 72:
[2025-05-16T21:05:21.201Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:05:21.201Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:05:21.201Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:05:21.201Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:05:21.201Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:05:21.201Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20397.753 ms) ======
[2025-05-16T21:05:21.201Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-16T21:05:21.201Z] GC before operation: completed in 187.104 ms, heap usage 761.680 MB -> 96.988 MB.
[2025-05-16T21:05:23.683Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:05:27.110Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:05:30.546Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:05:33.017Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:05:35.508Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:05:37.245Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:05:38.844Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:05:40.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:05:40.451Z] 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.
[2025-05-16T21:05:40.451Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:05:41.224Z] Top recommended movies for user id 72:
[2025-05-16T21:05:41.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:05:41.224Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:05:41.224Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:05:41.224Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:05:41.224Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:05:41.224Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19834.245 ms) ======
[2025-05-16T21:05:41.224Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-16T21:05:41.224Z] GC before operation: completed in 190.417 ms, heap usage 330.332 MB -> 91.786 MB.
[2025-05-16T21:05:43.722Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:05:47.164Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:05:50.793Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:05:53.264Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:05:54.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:05:57.473Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:05:59.128Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:06:00.748Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:06:00.748Z] 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.
[2025-05-16T21:06:00.748Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:06:01.520Z] Top recommended movies for user id 72:
[2025-05-16T21:06:01.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:06:01.520Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:06:01.520Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:06:01.520Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:06:01.520Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:06:01.520Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20109.994 ms) ======
[2025-05-16T21:06:01.520Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-16T21:06:01.520Z] GC before operation: completed in 181.812 ms, heap usage 294.677 MB -> 94.126 MB.
[2025-05-16T21:06:04.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:06:07.445Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:06:10.875Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:06:13.335Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:06:15.755Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:06:16.697Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:06:18.326Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:06:20.808Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:06:20.808Z] 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.
[2025-05-16T21:06:20.808Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:06:20.808Z] Top recommended movies for user id 72:
[2025-05-16T21:06:20.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:06:20.808Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:06:20.808Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:06:20.808Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:06:20.808Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:06:20.808Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19524.261 ms) ======
[2025-05-16T21:06:20.808Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-16T21:06:20.808Z] GC before operation: completed in 180.876 ms, heap usage 2.696 GB -> 97.749 MB.
[2025-05-16T21:06:24.243Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:06:27.750Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:06:31.183Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:06:33.651Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:06:35.247Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:06:36.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:06:39.321Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:06:40.918Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:06:40.918Z] 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.
[2025-05-16T21:06:40.918Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:06:40.918Z] Top recommended movies for user id 72:
[2025-05-16T21:06:40.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:06:40.918Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:06:40.918Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:06:40.918Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:06:40.918Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:06:40.918Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20009.536 ms) ======
[2025-05-16T21:06:40.918Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-16T21:06:40.918Z] GC before operation: completed in 188.088 ms, heap usage 2.687 GB -> 101.151 MB.
[2025-05-16T21:06:44.355Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:06:47.793Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:06:50.410Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:06:53.840Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:06:55.448Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:06:57.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:06:58.674Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:07:00.281Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:07:01.062Z] 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.
[2025-05-16T21:07:01.062Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:07:01.062Z] Top recommended movies for user id 72:
[2025-05-16T21:07:01.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:07:01.062Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:07:01.062Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:07:01.062Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:07:01.062Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:07:01.062Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19779.110 ms) ======
[2025-05-16T21:07:01.062Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-16T21:07:01.062Z] GC before operation: completed in 186.154 ms, heap usage 3.034 GB -> 100.417 MB.
[2025-05-16T21:07:04.564Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:07:07.114Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:07:10.574Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:07:14.007Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:07:15.604Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:07:17.204Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:07:19.698Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:07:21.308Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:07:21.308Z] 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.
[2025-05-16T21:07:21.308Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:07:21.308Z] Top recommended movies for user id 72:
[2025-05-16T21:07:21.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:07:21.308Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:07:21.308Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:07:21.308Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:07:21.308Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:07:21.308Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20398.167 ms) ======
[2025-05-16T21:07:21.308Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-16T21:07:22.083Z] GC before operation: completed in 176.680 ms, heap usage 763.125 MB -> 99.008 MB.
[2025-05-16T21:07:24.598Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:07:28.086Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:07:31.551Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:07:34.044Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:07:35.651Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:07:37.264Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:07:39.781Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:07:41.395Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:07:41.395Z] 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.
[2025-05-16T21:07:41.395Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:07:41.395Z] Top recommended movies for user id 72:
[2025-05-16T21:07:41.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:07:41.395Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:07:41.395Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:07:41.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:07:41.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:07:41.395Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19906.990 ms) ======
[2025-05-16T21:07:41.395Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-16T21:07:42.173Z] GC before operation: completed in 167.965 ms, heap usage 656.619 MB -> 95.175 MB.
[2025-05-16T21:07:45.615Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:07:49.066Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:07:52.498Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:07:54.993Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:07:57.476Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:07:59.075Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:08:01.563Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:08:03.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:08:03.154Z] 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.
[2025-05-16T21:08:03.154Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:08:03.154Z] Top recommended movies for user id 72:
[2025-05-16T21:08:03.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:08:03.154Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:08:03.154Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:08:03.154Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:08:03.154Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:08:03.154Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21559.844 ms) ======
[2025-05-16T21:08:03.154Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-16T21:08:03.929Z] GC before operation: completed in 168.145 ms, heap usage 2.386 GB -> 98.199 MB.
[2025-05-16T21:08:07.367Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:08:09.872Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:08:13.344Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:08:15.863Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:08:17.472Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:08:19.972Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:08:21.597Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:08:23.198Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:08:23.198Z] 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.
[2025-05-16T21:08:23.198Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:08:23.198Z] Top recommended movies for user id 72:
[2025-05-16T21:08:23.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:08:23.198Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:08:23.198Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:08:23.198Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:08:23.198Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:08:23.198Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19977.623 ms) ======
[2025-05-16T21:08:23.972Z] -----------------------------------
[2025-05-16T21:08:23.972Z] renaissance-movie-lens_0_PASSED
[2025-05-16T21:08:23.972Z] -----------------------------------
[2025-05-16T21:08:23.972Z]
[2025-05-16T21:08:23.972Z] TEST TEARDOWN:
[2025-05-16T21:08:23.972Z] Nothing to be done for teardown.
[2025-05-16T21:08:23.972Z] renaissance-movie-lens_0 Finish Time: Fri May 16 21:08:23 2025 Epoch Time (ms): 1747429703700