OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 23733 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

23733 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8304, kappa: 0.8128, kb_relative_information_score: 1417.1759, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8304, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8311, kappa: 0.8128, kb_relative_information_score: 1415.9038, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8271, kappa: 0.8089, kb_relative_information_score: 1418.478, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.827, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8275, kappa: 0.8089, kb_relative_information_score: 1415.76, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8295, kappa: 0.8111, kb_relative_information_score: 1416.5658, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8265, kappa: 0.8083, kb_relative_information_score: 1411.6641, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8266, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8722, kappa: 0.8578, kb_relative_information_score: 1697.2902, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8729, predictive_accuracy: 0.872, prior_entropy: 3.3219, recall: 0.872, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8767, kappa: 0.8628, kb_relative_information_score: 1725.994, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8772, predictive_accuracy: 0.8765, prior_entropy: 3.3219, recall: 0.8765, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8586, kappa: 0.8428, kb_relative_information_score: 1690.6212, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8591, predictive_accuracy: 0.8585, prior_entropy: 3.3219, recall: 0.8585, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8158, kappa: 0.7961, kb_relative_information_score: 1588.6028, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8214, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7567, kappa: 0.7317, kb_relative_information_score: 1503.9642, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7571, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7461, kappa: 0.7211, kb_relative_information_score: 1494.174, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7461, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7464, kappa: 0.7217, kb_relative_information_score: 1496.3466, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7464, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7288, kappa: 0.7017, kb_relative_information_score: 1439.3851, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7309, predictive_accuracy: 0.7315, prior_entropy: 3.3219, recall: 0.7315, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8081, kappa: 0.7867, kb_relative_information_score: 1662.0774, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7236, kappa: 0.6961, kb_relative_information_score: 1438.1144, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7246, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.807, kappa: 0.7867, kb_relative_information_score: 1579.1561, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7253, kappa: 0.6972, kb_relative_information_score: 1446.3201, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8115, kappa: 0.7928, kb_relative_information_score: 570.764, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8398, kappa: 0.8233, kb_relative_information_score: 1502.397, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8399, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.814, kappa: 0.7939, kb_relative_information_score: 1605.6549, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8319, kappa: 0.8139, kb_relative_information_score: 1634.3485, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8321, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.7762, kappa: 0.7533, kb_relative_information_score: 1555.5492, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7781, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.828, kappa: 0.81, kb_relative_information_score: 1509.7584, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.937, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8302, kappa: 0.8117, kb_relative_information_score: 1626.0069, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8308, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.825, kappa: 0.8078, kb_relative_information_score: 1441.2509, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8248, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8301, kappa: 0.8133, kb_relative_information_score: 1463.0231, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.83, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.815, kappa: 0.7944, kb_relative_information_score: 1593.2906, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8163, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7615, kappa: 0.7367, kb_relative_information_score: 1533.0374, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8374, kappa: 0.8189, kb_relative_information_score: 572.4793, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8466, kappa: 0.83, kb_relative_information_score: 576.8696, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8382, kappa: 0.8194, kb_relative_information_score: 573.961, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8392, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.7764, kappa: 0.7522, kb_relative_information_score: 558.4324, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8177, kappa: 0.7972, kb_relative_information_score: 1665.1387, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8204, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8189, kappa: 0.7989, kb_relative_information_score: 1603.5149, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8386, kappa: 0.82, kb_relative_information_score: 574.5104, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8394, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.355, kappa: 0.2961, kb_relative_information_score: 335.6885, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4117, predictive_accuracy: 0.3665, prior_entropy: 3.3219, recall: 0.3665, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8205, kappa: 0.8011, kb_relative_information_score: 1594.129, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8208, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1584.4584, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.824, kappa: 0.8067, kb_relative_information_score: 1551.4473, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8235, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8341, kappa: 0.815, kb_relative_information_score: 1675.3573, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8166, kappa: 0.7983, kb_relative_information_score: 1565.4881, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8121, kappa: 0.7939, kb_relative_information_score: 1513.2773, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8113, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8287, kappa: 0.8094, kb_relative_information_score: 1669.1072, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.83, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.7956, kappa: 0.7744, kb_relative_information_score: 1597.4432, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7988, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8218, kappa: 0.8033, kb_relative_information_score: 573.6644, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7649, kappa: 0.74, kb_relative_information_score: 1530.0499, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7646, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1491.1533, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.846, kappa: 0.8294, kb_relative_information_score: 1578.589, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.846, kappa: 0.8294, kb_relative_information_score: 1586.9556, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8339, kappa: 0.8156, kb_relative_information_score: 1638.1043, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8301, kappa: 0.8117, kb_relative_information_score: 1645.6657, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8304, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8397, kappa: 0.8228, kb_relative_information_score: 1524.1927, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8403, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8374, kappa: 0.8206, kb_relative_information_score: 1540.5558, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8217, kappa: 0.8022, kb_relative_information_score: 1601.8092, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8226, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8231, kappa: 0.8039, kb_relative_information_score: 1614.7933, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.7698, kappa: 0.7456, kb_relative_information_score: 1535.3285, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.765, kappa: 0.74, kb_relative_information_score: 1531.1143, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7648, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7254, kappa: 0.6983, kb_relative_information_score: 1433.4213, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7267, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7223, kappa: 0.695, kb_relative_information_score: 1436.4872, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7232, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7239, kappa: 0.6961, kb_relative_information_score: 1445.1219, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7258, predictive_accuracy: 0.7265, prior_entropy: 3.3219, recall: 0.7265, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8083, kappa: 0.7894, kb_relative_information_score: 570.6172, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8388, kappa: 0.8217, kb_relative_information_score: 577.2667, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.839, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8449, kappa: 0.8278, kb_relative_information_score: 576.2855, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8453, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8483, kappa: 0.8322, kb_relative_information_score: 578.4382, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8483, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8616, kappa: 0.8461, kb_relative_information_score: 579.5589, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8622, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.508, kappa: 0.4544, kb_relative_information_score: 409.0989, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5597, predictive_accuracy: 0.509, prior_entropy: 3.3219, recall: 0.509, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7821, kappa: 0.76, kb_relative_information_score: 559.1804, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9176,

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