Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 1806 Supervised Classification haberman 359 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.6784, kappa: 0.1227, kb_relative_information_score: 27.361, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6744, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9943, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7085, kappa: 0.2308, kb_relative_information_score: -60.5095, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7022, predictive_accuracy: 0.7183, prior_entropy: 0.836, recall: 0.7183, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9864, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.6851, kappa: 0.1575, kb_relative_information_score: 35.4624, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6754, predictive_accuracy: 0.7039, prior_entropy: 0.836, recall: 0.7039, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.466, root_relative_squared_error: 1.0562, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.6606, kappa: 0.0756, kb_relative_information_score: 38.4849, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6656, predictive_accuracy: 0.7275, prior_entropy: 0.836, recall: 0.7275, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.0108, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6692, kappa: 0.1249, kb_relative_information_score: 48.4219, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6605, predictive_accuracy: 0.6817, prior_entropy: 0.836, recall: 0.6817, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.067, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.7065, kappa: 0.1988, kb_relative_information_score: 469.1733, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7271, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1222, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.6819, kappa: 0.1323, kb_relative_information_score: 12.3249, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6796, predictive_accuracy: 0.7268, prior_entropy: 0.836, recall: 0.7268, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0037, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6849, kappa: 0.1454, kb_relative_information_score: 43.2432, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6765, predictive_accuracy: 0.717, prior_entropy: 0.836, recall: 0.717, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0265, scimark_benchmark: 938.5498, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6692, kappa: 0.1249, kb_relative_information_score: 48.4219, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6605, predictive_accuracy: 0.6817, prior_entropy: 0.836, recall: 0.6817, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.067, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.6784, kappa: 0.1227, kb_relative_information_score: 27.361, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6744, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9943, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7085, kappa: 0.2308, kb_relative_information_score: -60.5095, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7022, predictive_accuracy: 0.7183, prior_entropy: 0.836, recall: 0.7183, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9864, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.6851, kappa: 0.1575, kb_relative_information_score: 35.3733, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6754, predictive_accuracy: 0.7039, prior_entropy: 0.836, recall: 0.7039, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.0566, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.7065, kappa: 0.1988, kb_relative_information_score: 469.1733, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7271, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1222, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.6819, kappa: 0.1323, kb_relative_information_score: 12.3249, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6796, predictive_accuracy: 0.7268, prior_entropy: 0.836, recall: 0.7268, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0037, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.6606, kappa: 0.0756, kb_relative_information_score: 38.4849, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6656, predictive_accuracy: 0.7275, prior_entropy: 0.836, recall: 0.7275, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.0108, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.702, kappa: 0.1889, kb_relative_information_score: 97.1643, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7014, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9922, scimark_benchmark: 932.438, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6692, kappa: 0.1249, kb_relative_information_score: 48.4219, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6605, predictive_accuracy: 0.6817, prior_entropy: 0.836, recall: 0.6817, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.067, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6751, kappa: 0.1148, kb_relative_information_score: 71.7572, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6916, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9691, scimark_benchmark: 763.3895, usercpu_time_millis: 890, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6728, kappa: 0.1085, kb_relative_information_score: 73.0581, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6883, predictive_accuracy: 0.7366, prior_entropy: 0.836, recall: 0.7366, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9703, scimark_benchmark: 941.4991, usercpu_time_millis: 450, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6744, kappa: 0.1121, kb_relative_information_score: 70.7761, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6851, predictive_accuracy: 0.7346, prior_entropy: 0.836, recall: 0.7346, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9697, scimark_benchmark: 939.7241, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6706, kappa: 0.1014, kb_relative_information_score: 64.6729, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.676, predictive_accuracy: 0.7301, prior_entropy: 0.836, recall: 0.7301, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758, scimark_benchmark: 930.0399, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6714, kappa: 0.1039, kb_relative_information_score: 71.0431, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6784, predictive_accuracy: 0.7314, prior_entropy: 0.836, recall: 0.7314, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.428, root_relative_squared_error: 0.97, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7039, kappa: 0.1964, kb_relative_information_score: 150.8946, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7001, predictive_accuracy: 0.7346, prior_entropy: 0.836, recall: 0.7346, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.013, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7039, kappa: 0.1964, kb_relative_information_score: 150.8946, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7001, predictive_accuracy: 0.7346, prior_entropy: 0.836, recall: 0.7346, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.013, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7039, kappa: 0.1964, kb_relative_information_score: 150.8946, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7001, predictive_accuracy: 0.7346, prior_entropy: 0.836, recall: 0.7346, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.013, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7039, kappa: 0.1964, kb_relative_information_score: 150.8946, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7001, predictive_accuracy: 0.7346, prior_entropy: 0.836, recall: 0.7346, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.013, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.7105, kappa: 0.2156, kb_relative_information_score: 165.201, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7069, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4433, root_relative_squared_error: 1.0048, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.6231, kb_relative_information_score: -9.6697, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7117, kappa: 0.217, kb_relative_information_score: 397.3352, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.711, predictive_accuracy: 0.7431, prior_entropy: 0.836, recall: 0.7431, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0834, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7152, kappa: 0.2261, kb_relative_information_score: 413.6045, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7161, predictive_accuracy: 0.7471, prior_entropy: 0.836, recall: 0.7471, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4704, root_relative_squared_error: 1.0662, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7136, kappa: 0.2227, kb_relative_information_score: 394.5498, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7125, predictive_accuracy: 0.7438, prior_entropy: 0.836, recall: 0.7438, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0806, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7153, kappa: 0.2328, kb_relative_information_score: 385.1411, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7101, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0829, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.6606, kappa: 0.0756, kb_relative_information_score: 38.4849, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6656, predictive_accuracy: 0.7275, prior_entropy: 0.836, recall: 0.7275, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.0108, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6849, kappa: 0.1454, kb_relative_information_score: 43.2432, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6765, predictive_accuracy: 0.717, prior_entropy: 0.836, recall: 0.717, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0265, scimark_benchmark: 1347.6543, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.6606, kappa: 0.0756, kb_relative_information_score: 38.4849, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6656, predictive_accuracy: 0.7275, prior_entropy: 0.836, recall: 0.7275, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.0108, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.702, kappa: 0.1889, kb_relative_information_score: 97.1643, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7014, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9922, scimark_benchmark: 1331.4379, usercpu_time_millis: 440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7085, kappa: 0.2308, kb_relative_information_score: -60.5095, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7022, predictive_accuracy: 0.7183, prior_entropy: 0.836, recall: 0.7183, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9864, scimark_benchmark: 1346.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.7065, kappa: 0.1988, kb_relative_information_score: 469.1733, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7271, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1222, scimark_benchmark: 1333.0982, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.6819, kappa: 0.1323, kb_relative_information_score: 12.3249, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6796, predictive_accuracy: 0.7268, prior_entropy: 0.836, recall: 0.7268, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0037, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.702, kappa: 0.1889, kb_relative_information_score: 97.1643, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7014, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9922, scimark_benchmark: 1332.9478, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6849, kappa: 0.1454, kb_relative_information_score: 43.2432, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6765, predictive_accuracy: 0.717, prior_entropy: 0.836, recall: 0.717, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.0265, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6692, kappa: 0.1249, kb_relative_information_score: 48.4219, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6605, predictive_accuracy: 0.6817, prior_entropy: 0.836, recall: 0.6817, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.067, scimark_benchmark: 1367.3264, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.6784, kappa: 0.1227, kb_relative_information_score: 27.361, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6744, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9943, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.7058, kappa: 0.2019, kb_relative_information_score: 241.0421, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7022, predictive_accuracy: 0.7359, prior_entropy: 0.836, recall: 0.7359, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0999, scimark_benchmark: 1256.2802, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.6851, kappa: 0.1575, kb_relative_information_score: 35.4624, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6754, predictive_accuracy: 0.7039, prior_entropy: 0.836, recall: 0.7039, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.466, root_relative_squared_error: 1.0562, scimark_benchmark: 1321.8132, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.7065, kappa: 0.1988, kb_relative_information_score: 469.1733, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.7271, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1222, scimark_benchmark: 1342.6744, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6698, kappa: 0.0996, kb_relative_information_score: -9.6827, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.39, number_of_instances: 1530, precision: 0.6621, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.0193, scimark_benchmark: 1371.174,

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

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From your own software

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

OpenML APIs