Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 4532 Supervised Classification pasture 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 0.0064, build_memory: 1147586925.8, f_measure: 0.8154, kappa: 0.5823, kb_relative_information_score: 148.331, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8147, predictive_accuracy: 0.8167, prior_entropy: 0.9268, recall: 0.8167, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7721, scimark_benchmark: 945.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.0123, build_memory: 492660118.1778, f_measure: 0.8059, kappa: 0.5586, kb_relative_information_score: 148.0235, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8051, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7669, scimark_benchmark: 946.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, build_cpu_time: 0.0292, build_memory: 842352858, f_measure: 0.8187, kappa: 0.5862, kb_relative_information_score: 147.3707, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8189, predictive_accuracy: 0.8222, prior_entropy: 0.9268, recall: 0.8222, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7668, scimark_benchmark: 924.0491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, build_cpu_time: 0.0407, build_memory: 389924434.2667, f_measure: 0.8218, kappa: 0.5935, kb_relative_information_score: 147.6058, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8218, predictive_accuracy: 0.825, prior_entropy: 0.9268, recall: 0.825, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7643, scimark_benchmark: 946.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, build_cpu_time: 0.0606, build_memory: 1069023449.3778, f_measure: 0.8218, kappa: 0.5935, kb_relative_information_score: 147.6058, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8218, predictive_accuracy: 0.825, prior_entropy: 0.9268, recall: 0.825, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7643, scimark_benchmark: 945.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, build_cpu_time: 0.1269, build_memory: 271063403.7333, f_measure: 0.839, kappa: 0.63, kb_relative_information_score: 152.0787, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8441, predictive_accuracy: 0.8444, prior_entropy: 0.9268, recall: 0.8444, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7643, scimark_benchmark: 678.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0042, build_memory: 934990490.6, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.004, build_memory: 721750601.2667, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0055, build_memory: 693334168.0667, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0075, build_memory: 1160256460.8889, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0073, build_memory: 709141217.4444, f_measure: 0.8038, kappa: 0.5551, kb_relative_information_score: 171.9615, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8029, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8128, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.815, kappa: 0.5805, kb_relative_information_score: 198.3549, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8142, predictive_accuracy: 0.8167, prior_entropy: 0.9268, recall: 0.8167, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.879, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.5333, kb_relative_information_score: -4.0198, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0052, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7148, kappa: 0.3602, kb_relative_information_score: 117.6768, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7157, predictive_accuracy: 0.7139, prior_entropy: 0.9268, recall: 0.7139, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.1345, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7458, kappa: 0.4253, kb_relative_information_score: 145.5341, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7448, predictive_accuracy: 0.7472, prior_entropy: 0.9268, recall: 0.7472, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0664, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8363, kappa: 0.632, kb_relative_information_score: 209.4515, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8365, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.85, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -200.3612, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 0.9268, recall: 0.3333, relative_absolute_error: 1.4902, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.7318, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8283, kappa: 0.604, kb_relative_information_score: 219.8203, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8379, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8586, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7243, kappa: 0.3852, kb_relative_information_score: 108.0184, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7272, predictive_accuracy: 0.7222, prior_entropy: 0.9268, recall: 0.7222, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0152, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7024, kappa: 0.3149, kb_relative_information_score: 109.4317, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7009, predictive_accuracy: 0.7139, prior_entropy: 0.9268, recall: 0.7139, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9405, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7897, kappa: 0.5289, kb_relative_information_score: 181.2509, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7908, predictive_accuracy: 0.7889, prior_entropy: 0.9268, recall: 0.7889, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9704, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.879, kappa: 0.7249, kb_relative_information_score: 181.6554, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9268, recall: 0.8806, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6752, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8412, kappa: 0.6415, kb_relative_information_score: 188.1571, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8408, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7478, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.7111, kappa: 0.35, kb_relative_information_score: 115.3553, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7111, predictive_accuracy: 0.7111, prior_entropy: 0.9268, recall: 0.7111, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.14, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.844, kappa: 0.6436, kb_relative_information_score: 172.4811, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8451, predictive_accuracy: 0.8472, prior_entropy: 0.9268, recall: 0.8472, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7547, scimark_benchmark: 1339.3974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8389, kappa: 0.6375, kb_relative_information_score: 222.1418, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 0.9268, recall: 0.8389, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8513, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7996, kappa: 0.5481, kb_relative_information_score: 189.6415, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7992, predictive_accuracy: 0.8, prior_entropy: 0.9268, recall: 0.8, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9485, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8239, kappa: 0.6082, kb_relative_information_score: 196.4494, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8269, predictive_accuracy: 0.8222, prior_entropy: 0.9268, recall: 0.8222, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7247, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8158, kappa: 0.5906, kb_relative_information_score: 184.888, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8193, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.704, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8196, kappa: 0.5946, kb_relative_information_score: 202.508, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8198, predictive_accuracy: 0.8194, prior_entropy: 0.9268, recall: 0.8194, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8345, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8344, kappa: 0.6242, kb_relative_information_score: 214.7548, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8339, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8388, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8337, kappa: 0.6266, kb_relative_information_score: 217.2678, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8341, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8476, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8369, kappa: 0.6351, kb_relative_information_score: 219.5598, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8381, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8412, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8424, kappa: 0.6474, kb_relative_information_score: 224.8745, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8436, predictive_accuracy: 0.8417, prior_entropy: 0.9268, recall: 0.8417, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.834, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7873, kappa: 0.514, kb_relative_information_score: 178.4207, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7868, predictive_accuracy: 0.7917, prior_entropy: 0.9268, recall: 0.7917, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9489, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8663, kappa: 0.6941, kb_relative_information_score: 156.8101, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8689, predictive_accuracy: 0.8694, prior_entropy: 0.9268, recall: 0.8694, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.7336, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.875, kappa: 0.7143, kb_relative_information_score: 158.1347, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8774, predictive_accuracy: 0.8778, prior_entropy: 0.9268, recall: 0.8778, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7258, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.7873, kappa: 0.514, kb_relative_information_score: 186.1641, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7868, predictive_accuracy: 0.7917, prior_entropy: 0.9268, recall: 0.7917, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8651, scimark_benchmark: 1335.4072,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 159.6335, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9916, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7955, kappa: 0.5325, kb_relative_information_score: 182.2167, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7955, predictive_accuracy: 0.8, prior_entropy: 0.9268, recall: 0.8, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8553, scimark_benchmark: 1319.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8321, kappa: 0.6409, kb_relative_information_score: 203.3807, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8549, predictive_accuracy: 0.8278, prior_entropy: 0.9268, recall: 0.8278, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8598, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8352, kappa: 0.6274, kb_relative_information_score: 204.3834, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8347, predictive_accuracy: 0.8361, prior_entropy: 0.9268, recall: 0.8361, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.379, root_relative_squared_error: 0.8039, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 942.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8539, kappa: 0.6681, kb_relative_information_score: 157.6442, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8537, predictive_accuracy: 0.8556, prior_entropy: 0.9268, recall: 0.8556, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7311, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8089, kappa: 0.5714, kb_relative_information_score: 190.7534, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8096, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7927, scimark_benchmark: 1342.6911, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8064, kappa: 0.5605, kb_relative_information_score: 172.3825, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8055, predictive_accuracy: 0.8083, prior_entropy: 0.9268, recall: 0.8083, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.811, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7657, kappa: 0.4706, kb_relative_information_score: 160.5309, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.7648, predictive_accuracy: 0.7667, prior_entropy: 0.9268, recall: 0.7667, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9911, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8148, kappa: 0.5856, kb_relative_information_score: 186.5139, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8161, predictive_accuracy: 0.8139, prior_entropy: 0.9268, recall: 0.8139, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8907, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9119, kappa: 0.8041, kb_relative_information_score: 264.7372, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.9143, predictive_accuracy: 0.9111, prior_entropy: 0.9268, recall: 0.9111, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5995, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8906, kappa: 0.759, kb_relative_information_score: 262.6783, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.8969, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6294, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kb_relative_information_score: 78.2122, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 360, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 1322.7383,

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