Task
Supervised Classification on trains

Supervised Classification on trains

Task 51 Supervised Classification trains 693 runs submitted
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  • basic study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.001, build_memory: 1083561474.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.34, build_cpu_time: 0.0014, build_memory: 776460125.6, f_measure: 0.4949, kb_relative_information_score: -0.7159, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4357, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0051, build_memory: 892749032, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0014, build_memory: 508985888.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0008, build_memory: 415904518.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, build_cpu_time: 0.0009, build_memory: 1196078520, f_measure: 0.4505, kb_relative_information_score: -0.0755, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6727, root_relative_squared_error: 1.3454, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, build_cpu_time: 0.0027, build_memory: 200980072, f_measure: 0.4949, kb_relative_information_score: 0.2556, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3714, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, build_cpu_time: 0.0015, build_memory: 55789785.6, f_measure: 0.4949, kb_relative_information_score: 0.2556, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3714, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.002, build_memory: 722713708, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.04, build_cpu_time: 0.0105, build_memory: 2688455854.4, f_measure: 0.1667, kappa: -0.6, kb_relative_information_score: -1.8649, mean_absolute_error: 0.574, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1429, predictive_accuracy: 0.2, prior_entropy: 1, recall: 0.2, relative_absolute_error: 1.148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5819, root_relative_squared_error: 1.1638, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_memory: 325945439.2, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0003, build_memory: 142417902.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.0006, build_memory: 54957697.6, f_measure: 0.7917, kappa: 0.6, kb_relative_information_score: 5.1082, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8571, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, build_cpu_time: 0.0028, build_memory: 69685368.8, f_measure: 0.4949, kb_relative_information_score: 0.6891, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.321, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.24, build_cpu_time: 0.0025, build_memory: 235837120, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -1.3636, mean_absolute_error: 0.5578, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1859, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.24, build_cpu_time: 0.0021, build_memory: 986100968, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -1.3636, mean_absolute_error: 0.5578, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1859, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.24, build_cpu_time: 0.0017, build_memory: 784149302.4, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -1.3636, mean_absolute_error: 0.5578, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.1156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1859, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - build_memory: 250877832, kappa: -1, kb_relative_information_score: -1.2553, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - build_cpu_time: 0.0001, build_memory: 962075864, kappa: -1, kb_relative_information_score: -1.2553, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0002, build_memory: 338917648, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0003, build_memory: 549899416, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0003, build_memory: 255398060, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0002, build_memory: 74534905.6, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - build_cpu_time: 0.0004, build_memory: 783208936, kappa: -1, kb_relative_information_score: -1.2553, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, build_cpu_time: 0.0336, build_memory: 298054712, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 0.1118, mean_absolute_error: 0.5114, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.0059, build_memory: 108820532.8, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.725, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.1585, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.0142, build_memory: 66309356.8, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.0076, build_memory: 253494096, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.725, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.1585, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, build_cpu_time: 0.0395, build_memory: 1795491168.8, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: -0.3425, mean_absolute_error: 0.5348, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2963, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, build_cpu_time: 0.0131, build_memory: 947122186.4, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 7.96, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6326, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, build_cpu_time: 0.0031, build_memory: 261095435.2, f_measure: 0.4949, kb_relative_information_score: 0.6891, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.321, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.0056, build_memory: 364801764.8, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - build_cpu_time: 0.0012, build_memory: 882653194.4, kappa: -1, kb_relative_information_score: -3.0005, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2642, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - build_cpu_time: 0.0261, build_memory: 26338277.6, kappa: -1, kb_relative_information_score: -3.0005, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2642, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.0047, build_memory: 472696698.4, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - build_cpu_time: 0.0001, build_memory: 103639064, kappa: -1, kb_relative_information_score: -3.0005, mean_absolute_error: 0.6235, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.2471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2642, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, build_cpu_time: 0.0026, build_memory: 2647326936, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -2.7776, mean_absolute_error: 0.6417, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7857, root_relative_squared_error: 1.5714, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.36, build_cpu_time: 0.0046, build_memory: 160129482.4, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -2.7776, mean_absolute_error: 0.6417, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.2833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7857, root_relative_squared_error: 1.5714, scimark_benchmark: 907.1899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.0058, build_memory: 1728230552.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.2929, kappa: -0.4, kb_relative_information_score: -0.963, mean_absolute_error: 0.5458, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2917, predictive_accuracy: 0.3, prior_entropy: 1, recall: 0.3, relative_absolute_error: 1.0917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.682, root_relative_squared_error: 1.364, scimark_benchmark: 1327.9121,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.0122, build_memory: 418551741.6, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.0079, build_memory: 789961880.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 788.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 1.1494, build_memory: 733489384.8, f_measure: 0.4949, kb_relative_information_score: 0.5668, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0242, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, build_cpu_time: 0.0112, build_memory: 408510107.2, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 3.1267, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8731, scimark_benchmark: 944.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, build_cpu_time: 0.0336, build_memory: 82189600.8, f_measure: 0.4949, kb_relative_information_score: 0.2932, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0698, scimark_benchmark: 942.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, build_cpu_time: 0.3736, build_memory: 1143320321.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 0.1147, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0198, scimark_benchmark: 927.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, build_cpu_time: 0.001, build_memory: 796304464, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 1.8886, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9317, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, build_cpu_time: 0.0587, build_memory: 1832806816, f_measure: 0.4505, kb_relative_information_score: 0.1721, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0359, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, build_cpu_time: 0.0386, build_memory: 2288810812.8, f_measure: 0.4505, kb_relative_information_score: 0.1721, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0359, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, build_cpu_time: 0.173, build_memory: 1560268214.4, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -0.0594, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307, scimark_benchmark: 916.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, build_cpu_time: 0.1748, build_memory: 485987928.8, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -0.0594, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0307, scimark_benchmark: 904.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.0055, build_memory: 537662161.6, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 3.4475, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8957, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 35.6254, build_memory: 285863316.8, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.0099, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9279, scimark_benchmark: 942.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, build_cpu_time: 0.0143, build_memory: 2041503214.4, f_measure: 0.4949, kb_relative_information_score: 0.1887, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1259, scimark_benchmark: 944.3501,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs