OpenML
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 3739 Supervised Classification analcatdata_chlamydia 974 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.841, kappa: 0.4278, kb_relative_information_score: 43.9057, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.888, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9238, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8008, kappa: 0.2905, kb_relative_information_score: 32.7435, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8055, predictive_accuracy: 0.83, prior_entropy: 0.714, recall: 0.83, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0194, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7421, kappa: 0.0613, kb_relative_information_score: 29.0622, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7562, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4168, root_relative_squared_error: 1.0623, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9019, kappa: 0.6877, kb_relative_information_score: 56.2457, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9047, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.7423, scimark_benchmark: 938.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 60.9784, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6347, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 61.0856, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5844, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8978, kappa: 0.6615, kb_relative_information_score: 51.2591, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8967, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6345, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 41.9384, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.6803, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -0.7809, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8325, kappa: 0.4002, kb_relative_information_score: 48.9262, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8596, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.7765, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9163, kappa: 0.7173, kb_relative_information_score: 54.5078, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9175, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6247, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8449, kappa: 0.4813, kb_relative_information_score: 36.6702, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.842, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7636, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -0.7809, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 41.9384, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.6803, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7561, kappa: 0.1155, kb_relative_information_score: -80.6484, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.3553, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0924, scimark_benchmark: 918.4924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.748, kappa: 0.0826, kb_relative_information_score: 14.8261, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8527, predictive_accuracy: 0.82, prior_entropy: 0.714, recall: 0.82, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8924, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 891.2195, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8621, kappa: 0.5118, kb_relative_information_score: 43.0212, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6962, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7693, kappa: 0.1601, kb_relative_information_score: 15.4182, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8595, predictive_accuracy: 0.83, prior_entropy: 0.714, recall: 0.83, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.326, root_relative_squared_error: 0.831, scimark_benchmark: 936.6206, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.86, kappa: 0.5452, kb_relative_information_score: 46.1064, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9503, scimark_benchmark: 935.8834, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8686, kappa: 0.569, kb_relative_information_score: 49.7555, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9184, scimark_benchmark: 942.6953, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9411, kappa: 0.8126, kb_relative_information_score: 75.6094, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9433, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5931, scimark_benchmark: 883.7187, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 69.2954, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6406, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 23.3851, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.7642, scimark_benchmark: 923.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8649, kappa: 0.5791, kb_relative_information_score: 46.006, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8731, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9537, scimark_benchmark: 908.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, build_cpu_time: 0.3791, build_memory: 1459813654.4, f_measure: 0.8823, kappa: 0.6252, kb_relative_information_score: 53.5439, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8854, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.8804, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, build_cpu_time: 0.1919, build_memory: 1263451944.8, f_measure: 0.8911, kappa: 0.6497, kb_relative_information_score: 56.9872, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8924, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8452, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, build_cpu_time: 0.1022, build_memory: 687071969.6, f_measure: 0.9, kappa: 0.6751, kb_relative_information_score: 60.8009, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8041, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, build_cpu_time: 0.0545, build_memory: 541107278.4, f_measure: 0.9091, kappa: 0.7016, kb_relative_information_score: 63.1066, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9084, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.766, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, build_cpu_time: 0.0026, build_memory: 354186776, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 51.077, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.8062, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, build_cpu_time: 0.003, build_memory: 208506340, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 51.4304, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8104, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 0.0041, build_memory: 76962816, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 48.7933, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8364, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, build_cpu_time: 0.0062, build_memory: 109913540.8, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 48.7124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8393, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, build_cpu_time: 0.0068, build_memory: 42884886.4, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 48.7124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.8393, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, build_cpu_time: 0.0049, build_memory: 808549532.8, f_measure: 0.7305, kappa: 0.0401, kb_relative_information_score: 15.2736, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7078, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0134, scimark_benchmark: 923.564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, build_cpu_time: 0.0115, build_memory: 1310559976, f_measure: 0.9091, kappa: 0.7016, kb_relative_information_score: 63.9558, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9084, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.7659, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.0217, build_memory: 688086636, f_measure: 0.86, kappa: 0.5452, kb_relative_information_score: 46.1064, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9503, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.0222, build_memory: 2608576432, f_measure: 0.8686, kappa: 0.569, kb_relative_information_score: 49.7555, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9184, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, build_cpu_time: 0.0142, build_memory: 420152185.6, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, build_cpu_time: 0.006, build_memory: 368370741.6, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, build_cpu_time: 0.0244, build_memory: 821862811.2, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, build_cpu_time: 0.0175, build_memory: 670877382.4, f_measure: 0.9183, kappa: 0.7292, kb_relative_information_score: 61.4841, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9177, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.587, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.4259, build_memory: 1641660688, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 66.8537, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.7257, scimark_benchmark: 919.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, build_cpu_time: 0.2165, build_memory: 615605607.2, f_measure: 0.9109, kappa: 0.7134, kb_relative_information_score: 66.7169, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.912, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.7192, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, build_cpu_time: 0.0968, build_memory: 1253548230.4, f_measure: 0.9109, kappa: 0.7134, kb_relative_information_score: 66.5473, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.912, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.7347, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, build_cpu_time: 0.0457, build_memory: 149033791.2, f_measure: 0.9411, kappa: 0.8126, kb_relative_information_score: 75.6094, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9433, predictive_accuracy: 0.94, prior_entropy: 0.714, recall: 0.94, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5931, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.0088, build_memory: 1491686847.2, f_measure: 0.9293, kappa: 0.7679, kb_relative_information_score: 69.2954, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9288, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6406, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.0005, build_memory: 2226393922.4, f_measure: 0.8535, kappa: 0.5053, kb_relative_information_score: 23.3851, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8509, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.7642, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, build_cpu_time: 0.0002, build_memory: 684356360, f_measure: 0.9045, kappa: 0.6749, kb_relative_information_score: 49.8553, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9069, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.631, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, build_cpu_time: 0.0075, build_memory: 165156092.8, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 32.5221, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7397, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, build_cpu_time: 0.0007, build_memory: 124451231.2, f_measure: 0.7418, kappa: 0.1131, kb_relative_information_score: -0.9078, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.76, prior_entropy: 0.714, recall: 0.76, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.077, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, build_cpu_time: 0.0001, build_memory: 602128312, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0066, build_memory: 604396926.4, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, build_cpu_time: 0.0073, build_memory: 129038928, f_measure: 0.8863, kappa: 0.6196, kb_relative_information_score: 57.2048, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.885, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8453, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, build_cpu_time: 0.0097, build_memory: 892304208, f_measure: 0.8649, kappa: 0.5791, kb_relative_information_score: 46.006, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8731, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9537, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, build_cpu_time: 0.0037, build_memory: 129196819.2, f_measure: 0.8735, kappa: 0.6017, kb_relative_information_score: 49.727, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.879, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9173, scimark_benchmark: 926.786,

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