renaissance-movie-lens_0
[2025-06-18T20:37:52.956Z] Running test renaissance-movie-lens_0 ...
[2025-06-18T20:37:52.956Z] ===============================================
[2025-06-18T20:37:52.956Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 20:37:52 2025 Epoch Time (ms): 1750279072335
[2025-06-18T20:37:52.956Z] variation: NoOptions
[2025-06-18T20:37:52.956Z] JVM_OPTIONS:
[2025-06-18T20:37:52.956Z] { \
[2025-06-18T20:37:52.956Z] echo ""; echo "TEST SETUP:"; \
[2025-06-18T20:37:52.956Z] echo "Nothing to be done for setup."; \
[2025-06-18T20:37:52.956Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17502778682548/renaissance-movie-lens_0"; \
[2025-06-18T20:37:52.956Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17502778682548/renaissance-movie-lens_0"; \
[2025-06-18T20:37:52.956Z] echo ""; echo "TESTING:"; \
[2025-06-18T20:37:52.957Z] "/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_17502778682548/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-18T20:37:52.957Z] 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_17502778682548/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-18T20:37:52.957Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-18T20:37:52.957Z] echo "Nothing to be done for teardown."; \
[2025-06-18T20:37:52.957Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17502778682548/TestTargetResult";
[2025-06-18T20:37:52.957Z]
[2025-06-18T20:37:52.957Z] TEST SETUP:
[2025-06-18T20:37:52.957Z] Nothing to be done for setup.
[2025-06-18T20:37:52.957Z]
[2025-06-18T20:37:52.957Z] TESTING:
[2025-06-18T20:37:59.960Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-06-18T20:38:11.781Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-18T20:38:11.781Z] Training: 60056, validation: 20285, test: 19854
[2025-06-18T20:38:11.781Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-18T20:38:11.781Z] GC before operation: completed in 130.226 ms, heap usage 572.548 MB -> 75.792 MB.
[2025-06-18T20:38:16.396Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:38:18.923Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:38:22.390Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:38:25.838Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:38:27.448Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:38:29.939Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:38:31.564Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:38:33.187Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:38:33.962Z] 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.
[2025-06-18T20:38:33.962Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:38:33.962Z] Top recommended movies for user id 72:
[2025-06-18T20:38:33.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:38:33.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:38:33.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:38:33.962Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:38:33.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:38:33.962Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23011.375 ms) ======
[2025-06-18T20:38:33.962Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-18T20:38:33.962Z] GC before operation: completed in 206.149 ms, heap usage 1.786 GB -> 94.660 MB.
[2025-06-18T20:38:37.441Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:38:40.925Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:38:43.414Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:38:46.901Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:38:48.512Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:38:50.124Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:38:51.728Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:38:53.339Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:38:54.167Z] 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.
[2025-06-18T20:38:54.167Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:38:54.167Z] Top recommended movies for user id 72:
[2025-06-18T20:38:54.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:38:54.168Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:38:54.168Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:38:54.168Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:38:54.168Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:38:54.168Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19895.679 ms) ======
[2025-06-18T20:38:54.168Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-18T20:38:54.168Z] GC before operation: completed in 159.515 ms, heap usage 248.999 MB -> 90.206 MB.
[2025-06-18T20:38:57.633Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:39:01.089Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:39:04.566Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:39:07.070Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:39:09.555Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:39:11.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:39:12.765Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:39:14.364Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:39:15.137Z] 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.
[2025-06-18T20:39:15.137Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:39:15.137Z] Top recommended movies for user id 72:
[2025-06-18T20:39:15.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:39:15.137Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:39:15.137Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:39:15.137Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:39:15.137Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:39:15.137Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20871.473 ms) ======
[2025-06-18T20:39:15.137Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-18T20:39:15.137Z] GC before operation: completed in 124.609 ms, heap usage 371.004 MB -> 91.140 MB.
[2025-06-18T20:39:18.585Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:39:21.093Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:39:24.555Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:39:28.010Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:39:29.611Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:39:31.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:39:33.695Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:39:35.301Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:39:35.301Z] 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.
[2025-06-18T20:39:35.301Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:39:35.301Z] Top recommended movies for user id 72:
[2025-06-18T20:39:35.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:39:35.301Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:39:35.301Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:39:35.301Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:39:35.301Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:39:35.301Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20313.060 ms) ======
[2025-06-18T20:39:35.301Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-18T20:39:36.077Z] GC before operation: completed in 133.397 ms, heap usage 163.887 MB -> 90.912 MB.
[2025-06-18T20:39:38.562Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:39:42.004Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:39:44.484Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:39:47.935Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:39:49.537Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:39:51.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:39:52.776Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:39:54.377Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:39:54.377Z] 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.
[2025-06-18T20:39:54.377Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:39:55.151Z] Top recommended movies for user id 72:
[2025-06-18T20:39:55.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:39:55.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:39:55.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:39:55.151Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:39:55.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:39:55.151Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19091.218 ms) ======
[2025-06-18T20:39:55.151Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-18T20:39:55.151Z] GC before operation: completed in 156.008 ms, heap usage 2.329 GB -> 97.393 MB.
[2025-06-18T20:39:58.621Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:40:01.113Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:40:04.576Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:40:07.067Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:40:09.571Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:40:11.172Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:40:12.784Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:40:15.289Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:40:15.289Z] 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.
[2025-06-18T20:40:15.289Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:40:15.289Z] Top recommended movies for user id 72:
[2025-06-18T20:40:15.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:40:15.289Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:40:15.289Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:40:15.289Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:40:15.289Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:40:15.289Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20346.085 ms) ======
[2025-06-18T20:40:15.289Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-18T20:40:15.289Z] GC before operation: completed in 146.523 ms, heap usage 565.270 MB -> 91.770 MB.
[2025-06-18T20:40:18.745Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:40:21.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:40:24.694Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:40:27.181Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:40:29.384Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:40:31.196Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:40:33.141Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:40:34.752Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:40:35.526Z] 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.
[2025-06-18T20:40:35.526Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:40:35.526Z] Top recommended movies for user id 72:
[2025-06-18T20:40:35.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:40:35.526Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:40:35.526Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:40:35.526Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:40:35.526Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:40:35.526Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19895.090 ms) ======
[2025-06-18T20:40:35.526Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-18T20:40:35.526Z] GC before operation: completed in 130.429 ms, heap usage 304.762 MB -> 91.637 MB.
[2025-06-18T20:40:38.989Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:40:41.480Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:40:44.924Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:40:47.413Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:40:49.017Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:40:51.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:40:53.112Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:40:54.714Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:40:54.714Z] 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.
[2025-06-18T20:40:55.489Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:40:55.489Z] Top recommended movies for user id 72:
[2025-06-18T20:40:55.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:40:55.490Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:40:55.490Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:40:55.490Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:40:55.490Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:40:55.490Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19716.423 ms) ======
[2025-06-18T20:40:55.490Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-18T20:40:55.490Z] GC before operation: completed in 146.348 ms, heap usage 321.636 MB -> 92.114 MB.
[2025-06-18T20:40:57.994Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:41:01.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:41:04.912Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:41:07.414Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:41:09.900Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:41:11.496Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:41:13.100Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:41:14.713Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:41:14.713Z] 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.
[2025-06-18T20:41:14.713Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:41:15.486Z] Top recommended movies for user id 72:
[2025-06-18T20:41:15.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:41:15.486Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:41:15.486Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:41:15.487Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:41:15.487Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:41:15.487Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19829.491 ms) ======
[2025-06-18T20:41:15.487Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-18T20:41:15.487Z] GC before operation: completed in 145.009 ms, heap usage 2.574 GB -> 98.116 MB.
[2025-06-18T20:41:18.016Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:41:21.510Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:41:24.047Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:41:27.492Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:41:29.100Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:41:30.698Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:41:33.234Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:41:34.852Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:41:34.852Z] 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.
[2025-06-18T20:41:34.852Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:41:34.852Z] Top recommended movies for user id 72:
[2025-06-18T20:41:34.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:41:34.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:41:34.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:41:34.852Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:41:34.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:41:34.852Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19718.556 ms) ======
[2025-06-18T20:41:34.852Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-18T20:41:35.641Z] GC before operation: completed in 143.372 ms, heap usage 320.535 MB -> 91.992 MB.
[2025-06-18T20:41:38.136Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:41:41.609Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:41:45.051Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:41:47.549Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:41:49.171Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:41:51.687Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:41:53.301Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:41:54.931Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:41:54.931Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T20:41:54.931Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:41:55.709Z] Top recommended movies for user id 72:
[2025-06-18T20:41:55.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:41:55.709Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:41:55.709Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:41:55.709Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:41:55.709Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:41:55.709Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20069.779 ms) ======
[2025-06-18T20:41:55.709Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-18T20:41:55.709Z] GC before operation: completed in 127.668 ms, heap usage 299.833 MB -> 91.648 MB.
[2025-06-18T20:41:58.211Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:42:01.681Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:42:04.396Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:42:06.886Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:42:09.387Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:42:10.991Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:42:12.652Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:42:14.254Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:42:15.034Z] 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.
[2025-06-18T20:42:15.034Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:42:15.034Z] Top recommended movies for user id 72:
[2025-06-18T20:42:15.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:42:15.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:42:15.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:42:15.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:42:15.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:42:15.034Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19637.044 ms) ======
[2025-06-18T20:42:15.034Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-18T20:42:15.034Z] GC before operation: completed in 127.533 ms, heap usage 319.455 MB -> 91.963 MB.
[2025-06-18T20:42:20.954Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:42:20.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:42:24.418Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:42:27.903Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:42:29.516Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:42:31.138Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:42:32.760Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:42:34.372Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:42:35.148Z] 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.
[2025-06-18T20:42:35.149Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:42:35.149Z] Top recommended movies for user id 72:
[2025-06-18T20:42:35.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:42:35.149Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:42:35.149Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:42:35.149Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:42:35.149Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:42:35.149Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19834.828 ms) ======
[2025-06-18T20:42:35.149Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-18T20:42:35.149Z] GC before operation: completed in 138.691 ms, heap usage 886.140 MB -> 95.842 MB.
[2025-06-18T20:42:38.606Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:42:41.103Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:42:44.561Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:42:47.048Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:42:49.538Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:42:51.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:42:52.931Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:42:54.544Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:42:55.325Z] 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.
[2025-06-18T20:42:55.325Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:42:55.325Z] Top recommended movies for user id 72:
[2025-06-18T20:42:55.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:42:55.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:42:55.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:42:55.325Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:42:55.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:42:55.325Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20142.922 ms) ======
[2025-06-18T20:42:55.325Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-18T20:42:55.325Z] GC before operation: completed in 128.792 ms, heap usage 170.030 MB -> 91.622 MB.
[2025-06-18T20:42:58.787Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:43:01.304Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:43:04.779Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:43:07.278Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:43:08.885Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:43:10.510Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:43:12.125Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:43:13.729Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:43:13.729Z] 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.
[2025-06-18T20:43:13.729Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:43:14.510Z] Top recommended movies for user id 72:
[2025-06-18T20:43:14.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:43:14.510Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:43:14.510Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:43:14.510Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:43:14.510Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:43:14.510Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18737.338 ms) ======
[2025-06-18T20:43:14.510Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-18T20:43:14.510Z] GC before operation: completed in 147.938 ms, heap usage 2.414 GB -> 98.232 MB.
[2025-06-18T20:43:17.007Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:43:20.475Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:43:23.006Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:43:25.503Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:43:27.127Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:43:28.741Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:43:31.234Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:43:32.833Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:43:32.833Z] 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.
[2025-06-18T20:43:32.833Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:43:32.833Z] Top recommended movies for user id 72:
[2025-06-18T20:43:32.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:43:32.833Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:43:32.833Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:43:32.833Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:43:32.833Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:43:32.833Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18617.708 ms) ======
[2025-06-18T20:43:32.833Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-18T20:43:32.833Z] GC before operation: completed in 136.576 ms, heap usage 993.682 MB -> 95.869 MB.
[2025-06-18T20:43:36.289Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:43:38.777Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:43:42.228Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:43:44.713Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:43:46.334Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:43:47.935Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:43:49.540Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:43:51.160Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:43:51.160Z] 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.
[2025-06-18T20:43:51.160Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:43:51.934Z] Top recommended movies for user id 72:
[2025-06-18T20:43:51.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:43:51.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:43:51.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:43:51.934Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:43:51.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:43:51.934Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18439.605 ms) ======
[2025-06-18T20:43:51.934Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-18T20:43:51.934Z] GC before operation: completed in 137.303 ms, heap usage 2.561 GB -> 98.329 MB.
[2025-06-18T20:43:54.422Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:43:57.884Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:44:00.375Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:44:03.811Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:44:05.627Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:44:07.225Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:44:08.820Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:44:11.308Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:44:11.308Z] 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.
[2025-06-18T20:44:11.308Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:44:11.308Z] Top recommended movies for user id 72:
[2025-06-18T20:44:11.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:44:11.308Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:44:11.308Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:44:11.308Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:44:11.308Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:44:11.308Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19767.262 ms) ======
[2025-06-18T20:44:11.308Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-18T20:44:11.308Z] GC before operation: completed in 118.950 ms, heap usage 373.445 MB -> 91.978 MB.
[2025-06-18T20:44:14.772Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:44:17.268Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:44:20.721Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:44:24.207Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:44:25.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:44:27.410Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:44:29.008Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:44:30.611Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:44:31.386Z] 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.
[2025-06-18T20:44:31.386Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:44:31.386Z] Top recommended movies for user id 72:
[2025-06-18T20:44:31.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:44:31.386Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:44:31.386Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:44:31.386Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:44:31.386Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:44:31.386Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19761.488 ms) ======
[2025-06-18T20:44:31.386Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-18T20:44:31.386Z] GC before operation: completed in 132.424 ms, heap usage 2.580 GB -> 98.281 MB.
[2025-06-18T20:44:34.829Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T20:44:37.321Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T20:44:39.811Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T20:44:43.269Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T20:44:44.066Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T20:44:46.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T20:44:48.186Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T20:44:49.798Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T20:44:50.617Z] 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.
[2025-06-18T20:44:50.617Z] The best model improves the baseline by 14.43%.
[2025-06-18T20:44:50.617Z] Top recommended movies for user id 72:
[2025-06-18T20:44:50.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T20:44:50.617Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T20:44:50.617Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T20:44:50.617Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T20:44:50.617Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T20:44:50.617Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18952.993 ms) ======
[2025-06-18T20:44:51.396Z] -----------------------------------
[2025-06-18T20:44:51.396Z] renaissance-movie-lens_0_PASSED
[2025-06-18T20:44:51.396Z] -----------------------------------
[2025-06-18T20:44:51.396Z]
[2025-06-18T20:44:51.396Z] TEST TEARDOWN:
[2025-06-18T20:44:51.396Z] Nothing to be done for teardown.
[2025-06-18T20:44:51.396Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 20:44:50 2025 Epoch Time (ms): 1750279490583