OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23663 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9549, kappa: 0.95, kb_relative_information_score: 10296.5945, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 3.3208, recall: 0.955, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.2869, scimark_benchmark: 940.2922, usercpu_time_millis: 9230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.971, kappa: 0.9677, kb_relative_information_score: 10586.6535, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 3.3208, recall: 0.971, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2241, scimark_benchmark: 910.8389, usercpu_time_millis: 17130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9794, kappa: 0.9772, kb_relative_information_score: 10724.2122, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.3208, recall: 0.9794, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1891, scimark_benchmark: 910.8389, usercpu_time_millis: 34390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 34370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 939.7623, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 934.5243, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 938.4278, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 922.9039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 6979.5186, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, scimark_benchmark: 939.7623, usercpu_time_millis: 8790, usercpu_time_millis_testing: 2700, usercpu_time_millis_training: 6090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 6979.5186, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, scimark_benchmark: 939.7623, usercpu_time_millis: 8940, usercpu_time_millis_testing: 2750, usercpu_time_millis_training: 6190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8545, kappa: 0.8417, kb_relative_information_score: 6979.5186, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8639, predictive_accuracy: 0.8575, prior_entropy: 3.3208, recall: 0.8575, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294, scimark_benchmark: 926.6717, usercpu_time_millis: 10480, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 7320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8542, kappa: 0.8415, kb_relative_information_score: 8337.5532, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8635, predictive_accuracy: 0.8574, prior_entropy: 3.3208, recall: 0.8574, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5791, scimark_benchmark: 945.6434, usercpu_time_millis: 25400, usercpu_time_millis_testing: 8590, usercpu_time_millis_training: 16810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 10585.2524, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3208, recall: 0.9658, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.268, scimark_benchmark: 977.6382, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0355, kappa: -0.0004, kb_relative_information_score: 0.9757, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0216, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9554, kappa: 0.9505, kb_relative_information_score: 10479.6037, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 3.3208, recall: 0.9554, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3148, scimark_benchmark: 977.6382, usercpu_time_millis: 84000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 83980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9426, kappa: 0.9406, kb_relative_information_score: 10299.385, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9497, predictive_accuracy: 0.9466, prior_entropy: 3.3208, recall: 0.9466, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.2885, scimark_benchmark: 940.3346, usercpu_time_millis: 243950, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 243730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.3566, kappa: 0.3211, kb_relative_information_score: 3959.6087, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3661, predictive_accuracy: 0.39, prior_entropy: 3.3208, recall: 0.39, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3493, root_relative_squared_error: 1.1644, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9696, kappa: 0.9662, kb_relative_information_score: 10626.9058, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 3.3208, recall: 0.9696, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2565, scimark_benchmark: 1465.2979, usercpu_time_millis: 1170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.231, kappa: 0.1415, kb_relative_information_score: 2119.7532, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8655, predictive_accuracy: 0.2305, prior_entropy: 3.3208, recall: 0.2305, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3923, root_relative_squared_error: 1.3078, scimark_benchmark: 1368.9272, usercpu_time_millis: 23160, usercpu_time_millis_testing: 5370, usercpu_time_millis_training: 17790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9712, kappa: 0.9681, kb_relative_information_score: 10661.3121, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 3.3208, recall: 0.9713, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2528, scimark_benchmark: 1294.7826, usercpu_time_millis: 9010, usercpu_time_millis_testing: 5190, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9597, kappa: 0.9552, kb_relative_information_score: 10484.3045, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 3.3208, recall: 0.9597, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2906, scimark_benchmark: 1291.6995, usercpu_time_millis: 2560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9549, kappa: 0.9499, kb_relative_information_score: 10397.9502, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9551, predictive_accuracy: 0.9549, prior_entropy: 3.3208, recall: 0.9549, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3002, scimark_benchmark: 1066.7184, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.956, kappa: 0.9512, kb_relative_information_score: 10486.6371, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3208, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125, scimark_benchmark: 1301.9956, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9538, kappa: 0.9486, kb_relative_information_score: 10135.8319, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.3208, recall: 0.9538, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3044, scimark_benchmark: 1072.3689, usercpu_time_millis: 53470, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 51360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 1325.942, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.0841, kappa: 0.036, kb_relative_information_score: 1040.3122, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.5279, predictive_accuracy: 0.1363, prior_entropy: 3.3208, recall: 0.1363, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.3855, scimark_benchmark: 1304.6687, usercpu_time_millis: 198670, usercpu_time_millis_testing: 98070, usercpu_time_millis_training: 100600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8405, kappa: 0.8225, kb_relative_information_score: 9154.047, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8488, predictive_accuracy: 0.8402, prior_entropy: 3.3208, recall: 0.8402, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5959, scimark_benchmark: 938.9967, usercpu_time_millis: 6880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9541, kappa: 0.9489, kb_relative_information_score: 10387.9174, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 3.3208, recall: 0.9541, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2828, scimark_benchmark: 869.6028, usercpu_time_millis: 24810, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 24750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9799, kappa: 0.9777, kb_relative_information_score: 3287.8104, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 3.3208, recall: 0.9799, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.272, root_relative_squared_error: 0.9066, scimark_benchmark: 1369.9744, usercpu_time_millis: 1760, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.913, kappa: 0.9046, kb_relative_information_score: 3225.9505, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9168, predictive_accuracy: 0.9141, prior_entropy: 3.3208, recall: 0.9141, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9102, scimark_benchmark: 1318.5526, usercpu_time_millis: 184110, usercpu_time_millis_testing: 118630, usercpu_time_millis_training: 65480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 10921.6607, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 3.3208, recall: 0.9935, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.1087, scimark_benchmark: 937.6212, usercpu_time_millis: 13490, usercpu_time_millis_testing: 13490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 10907.1242, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.115, scimark_benchmark: 930.5999, usercpu_time_millis: 12660, usercpu_time_millis_testing: 12660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 943.1756, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.0722, kappa: 0.1117, kb_relative_information_score: 2439.2433, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0442, predictive_accuracy: 0.2041, prior_entropy: 3.3208, recall: 0.2041, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 854.5188, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.0849, kappa: 0.1119, kb_relative_information_score: 2451.7807, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.0623, predictive_accuracy: 0.2043, prior_entropy: 3.3208, recall: 0.2043, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9607, scimark_benchmark: 1339.4964, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.0675, kappa: 0.0405, kb_relative_information_score: 532.1946, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3844, predictive_accuracy: 0.14, prior_entropy: 3.3208, recall: 0.14, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9876, scimark_benchmark: 1327.3602, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10921.9214, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1164, scimark_benchmark: 1340.9497, usercpu_time_millis: 36160, usercpu_time_millis_testing: 36150, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10917.6087, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.1163, scimark_benchmark: 1349.9741, usercpu_time_millis: 8010, usercpu_time_millis_testing: 8010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9042, kappa: 0.8946, kb_relative_information_score: 9970.6899, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9058, predictive_accuracy: 0.9051, prior_entropy: 3.3208, recall: 0.9051, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.4283, scimark_benchmark: 932.0242, usercpu_time_millis: 880, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 9649.273, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8828, predictive_accuracy: 0.8828, prior_entropy: 3.3208, recall: 0.8828, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646, scimark_benchmark: 935.5075, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8163, kappa: 0.797, kb_relative_information_score: 8369.0858, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8184, predictive_accuracy: 0.8173, prior_entropy: 3.3208, recall: 0.8173, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593, scimark_benchmark: 1353.2625, usercpu_time_millis: 6140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 10782.0356, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1779, scimark_benchmark: 1308.3432, usercpu_time_millis: 57080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 57050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8163, kappa: 0.797, kb_relative_information_score: 8369.0858, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8184, predictive_accuracy: 0.8173, prior_entropy: 3.3208, recall: 0.8173, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593, scimark_benchmark: 885.0921, usercpu_time_millis: 8190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 9649.273, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8828, predictive_accuracy: 0.8828, prior_entropy: 3.3208, recall: 0.8828, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646, scimark_benchmark: 1348.7888, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10677.7635, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.163, scimark_benchmark: 937.1527, usercpu_time_millis: 5520, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9587, kappa: 0.9541, kb_relative_information_score: 10485.4959, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9588, predictive_accuracy: 0.9587, prior_entropy: 3.3208, recall: 0.9587, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2925, scimark_benchmark: 1358.4523, usercpu_time_millis: 2820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9863, kappa: 0.9848, kb_relative_information_score: 10295.128, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9865, predictive_accuracy: 0.9864, prior_entropy: 3.3208, recall: 0.9864, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2313, scimark_benchmark: 894.7222, usercpu_time_millis: 19720, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 17850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8826, kappa: 0.8698, kb_relative_information_score: 9649.273, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8828, predictive_accuracy: 0.8828, prior_entropy: 3.3208, recall: 0.8828, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4646, scimark_benchmark: 1321.5205, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9854, kb_relative_information_score: 10845.3682, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 3.3208, recall: 0.9869, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.152, scimark_benchmark: 1151.6869, usercpu_time_millis: 2490, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10677.7635, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.163, scimark_benchmark: 1345.7204, usercpu_time_millis: 5160, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 4380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 933.1165, usercpu_time_millis: 370, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.5936, kappa: 0.6071, kb_relative_information_score: 4865.64, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7274, predictive_accuracy: 0.6468, prior_entropy: 3.3208, recall: 0.6468, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.251, root_relative_squared_error: 0.8369, scimark_benchmark: 1334.6745, usercpu_time_millis: 340530, usercpu_time_millis_testing: 340530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1347.917, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1288.1375, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1288.1375, usercpu_time_millis: 230, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 938.0414, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10677.7635, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.163, scimark_benchmark: 1322.7257, usercpu_time_millis: 4920, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 4130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9538, kappa: 0.9486, kb_relative_information_score: 10135.8319, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.3208, recall: 0.9538, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3044, scimark_benchmark: 1278.6629, usercpu_time_millis: 55250, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 53090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9538, kappa: 0.9486, kb_relative_information_score: 10135.8319, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.3208, recall: 0.9538, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3044, scimark_benchmark: 1322.7257, usercpu_time_millis: 55690, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 53560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9808, kappa: 0.9787, kb_relative_information_score: 10783.685, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.3208, recall: 0.9808, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1823, scimark_benchmark: 1354.3488, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 1260.1387, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.0841, kappa: 0.036, kb_relative_information_score: 1040.3122, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.5279, predictive_accuracy: 0.1363, prior_entropy: 3.3208, recall: 0.1363, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4156, root_relative_squared_error: 1.3855, scimark_benchmark: 1318.2298, usercpu_time_millis: 113680, usercpu_time_millis_testing: 45060, usercpu_time_millis_training: 68620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9538, kappa: 0.9486, kb_relative_information_score: 10135.8319, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 3.3208, recall: 0.9538, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3044, scimark_benchmark: 1274.7011, usercpu_time_millis: 55330, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 53220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8778, kappa: 0.8658, kb_relative_information_score: 9680.5535, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8871, predictive_accuracy: 0.8793, prior_entropy: 3.3208, recall: 0.8793, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4791, scimark_benchmark: 1286.0816, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,

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