10414669 1 Jan van Rijn 9956 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8252413 C 873.74184695882 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.8137182528301703 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.011358542886099754 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 60194 16360 shrinking false 16360 tol 0.038078154346489396 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 21751147 description https://api.openml.org/data/download/21751147/description.xml -1 21751148 predictions https://api.openml.org/data/download/21751148/predictions.arff area_under_roc_curve 0.7725843000440293 [0.632386,0.778091,0.655934,0.874684,0.649933,0.871841,0.557762,0.592487,0.71875,0.624684,0.873737,0.498421,0.936868,0.936868,0.561237,0.998421,0.65088,0.651828,0.905934,0.936868,0.998105,0.499368,0.841855,0.809657,0.497473,0.806815,0.779039,0.499368,0.905934,0.966855,0.499368,0.998105,0.52746,0.998737,0.686868,0.591855,0.933394,0.90246,0.653091,0.812184,0.96875,0.842171,0.591539,0.623105,0.499052,0.747157,0.681183,0.686868,0.65088,0.809026,0.90088,0.681183,0.652776,0.777144,0.769563,0.778091,0.998421,0.683394,0.681815,0.968434,0.96875,0.935605,0.904355,0.780618,0.810605,0.84375,0.904039,0.716223,0.842802,0.499684,0.683394,0.718118,0.968118,0.775249,0.812184,0.874368,0.778091,0.997157,0.717487,0.686237,0.654987,0.685289,0.590907,0.621841,0.873105,0.96875,0.591223,0.839644,0.841223,0.96496,0.84375,0.593118,0.842487,0.999684,0.903407,0.681815,0.651828,0.968118,0.904039,0.905618] average_cost 0 f_measure 0.531985590063255 [0.363636,0.514286,0.454545,0.827586,0.243902,0.631579,0.121212,0.26087,0.608696,0.380952,0.75,0,0.875,0.875,0.181818,0.864865,0.263158,0.285714,0.866667,0.875,0.842105,0,0.666667,0.571429,0,0.454545,0.5625,0,0.866667,0.810811,0,0.842105,0.068966,0.888889,0.5,0.24,0.651163,0.634146,0.322581,0.740741,0.967742,0.6875,0.230769,0.307692,0,0.484848,0.285714,0.5,0.263158,0.540541,0.565217,0.285714,0.3125,0.473684,0.290323,0.514286,0.864865,0.342857,0.3,0.9375,0.967742,0.777778,0.742857,0.666667,0.625,0.814815,0.722222,0.451613,0.733333,0,0.342857,0.56,0.909091,0.409091,0.740741,0.8,0.514286,0.780488,0.518519,0.461538,0.4,0.413793,0.214286,0.266667,0.705882,0.967742,0.222222,0.55,0.628571,0.697674,0.814815,0.285714,0.709677,0.969697,0.684211,0.3,0.285714,0.909091,0.722222,0.83871] kappa 0.5451686614855106 kb_relative_information_score 0.5487012256647658 mean_absolute_error 0.009005628517823503 mean_prior_absolute_error 0.019799992711748222 number_of_instances 1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] precision 0.5508135034777502 [0.571429,0.473684,0.833333,0.923077,0.2,0.545455,0.117647,0.428571,1,0.8,0.75,0,0.875,0.875,0.333333,0.761905,0.227273,0.263158,0.928571,0.875,0.727273,0,0.647059,0.526316,0,0.357143,0.5625,0,0.928571,0.714286,0,0.727273,0.076923,0.8,0.75,0.333333,0.518519,0.52,0.333333,0.909091,1,0.6875,0.3,0.4,0,0.470588,0.230769,0.75,0.227273,0.47619,0.433333,0.230769,0.3125,0.409091,0.195652,0.473684,0.761905,0.315789,0.25,0.9375,1,0.7,0.684211,0.818182,0.625,1,0.65,0.466667,0.785714,0,0.315789,0.777778,0.882353,0.321429,0.909091,0.857143,0.473684,0.64,0.636364,0.6,0.555556,0.461538,0.25,0.285714,0.666667,1,0.272727,0.458333,0.578947,0.555556,1,0.6,0.733333,0.941176,0.590909,0.25,0.263158,0.882353,0.65,0.866667] predictive_accuracy 0.5497185741088181 prior_entropy 6.643827772868604 recall 0.549718574108818 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[0.5,0.5,0.5,0.75,0.5,0.996815,0.5,0.5,0.75,0.5,0.5,0.5,1,1,0.5,1,0.993671,0.990506,1,0.996815,1,0.5,0.5,0.996815,0.496815,0.993671,1,0.5,1,0.996835,0.5,1,0.493671,1,0.5,0.5,1,0.993671,0.5,0.75,1,0.75,0.75,0.5,0.5,0.993671,0.493671,0.496835,0.5,0.75,0.743631,0.5,0.996835,0.996815,0.971519,1,0.996815,0.493631,0.996815,1,1,0.996815,0.993631,0.75,1,0.5,1,0.743631,1,0.5,1,1,1,1,1,1,0.5,0.996815,0.993671,1,0.5,1,0.996815,0.5,1,1,0.996835,0.993631,0.993671,0.990446,1,0.496835,1,1,0.996815,0.493631,0.993671,1,0.996835,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0.5899538698103537 kappa 0.5141572679233378 kappa 0.50806101935433 kappa 0.5457413249211357 kappa 0.5328282828282828 kappa 0.5455979804354687 kappa 0.57082560845726 kappa 0.5141189462060263 kappa 0.52675789722759 kappa 0.6061054061613457 kb_relative_information_score 0.5927668188310328 kb_relative_information_score 0.5176968573611974 kb_relative_information_score 0.5114342382139094 kb_relative_information_score 0.5490099530976379 kb_relative_information_score 0.5364847148030617 kb_relative_information_score 0.5489728448803701 kb_relative_information_score 0.5740253826647403 kb_relative_information_score 0.5176571726499076 kb_relative_information_score 0.5301834415420926 kb_relative_information_score 0.6091616506505785 mean_absolute_error 0.008125000000000004 mean_absolute_error 0.009625000000000005 mean_absolute_error 0.009750000000000005 mean_absolute_error 0.009000000000000005 mean_absolute_error 0.009250000000000005 mean_absolute_error 0.009000000000000005 mean_absolute_error 0.008500000000000004 mean_absolute_error 0.009625000000000005 mean_absolute_error 0.009375000000000005 mean_absolute_error 0.007798742138364784 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.01980002942907592 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.019800029429075917 mean_prior_absolute_error 0.01980002942907591 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.01979995585638609 mean_prior_absolute_error 0.019799955856386102 mean_prior_absolute_error 0.01979995631910742 number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1] number_of_instances 160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1] number_of_instances 160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1] number_of_instances 160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1] number_of_instances 160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2] number_of_instances 160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2] number_of_instances 160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2] number_of_instances 159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2] predictive_accuracy 0.59375 predictive_accuracy 0.51875 predictive_accuracy 0.5125 predictive_accuracy 0.55 predictive_accuracy 0.5375 predictive_accuracy 0.55 predictive_accuracy 0.575 predictive_accuracy 0.51875 predictive_accuracy 0.53125 predictive_accuracy 0.610062893081761 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.644100581449517 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.643553938691703 prior_entropy 6.64355737669647 recall 0.59375 [0,1,0,1,0,0.5,0,0,1,0,1,0,1,1,0,1,1,1,1,1,1,0,1,0.5,0,1,1,0,1,0,0,1,0,1,1,0,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,0.5,1,0.5,1,0,1,0.5,1,1,1,1,1,1,1,1,0.5,1,0,1,1,0,0,0.5,1,1,1,1,0.5,1,1,1,1,0.5,0.5,0,1,1,0,0.5,0,1,0.5,0.5,1,1,0.5,0.5,1,1,1,1] recall 0.51875 [0.5,0,0,1,0,0,0,0,0.5,0,1,0,1,1,0,1,0.5,1,1,0.5,1,0,1,0.5,0,0,0,0,0.5,1,0,1,1,1,0,0.5,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,0.5,1,0.5,1,0.5,1,1,1,0,1,1,1,0.5,1,0,1,0.5,0.5,0,1,0,0,0.5,1,1,1,0.5,0.5,1,0,1,1,0.5,0,0,1,1,0,1,0.5,1,0.5,0,1,1,0.5,0.5,0,1,0,0] recall 0.5125 [0.5,1,0,1,0,1,0,1,0,0,1,0,1,0.5,0,1,0,0,1,1,1,0,0.5,1,0,1,1,0,1,1,0,1,0,1,0.5,0,1,1,1,0,0.5,1,1,0,0,0,0,0,0.5,0,1,0,0.5,1,1,0,1,0,1,0,0.5,1,1,1,0.5,0.5,1,0,1,0,0,0.5,1,1,1,0.5,1,1,0,0,0,0,0,0,1,0.5,0,0,1,1,1,0,0.5,1,1,1,1,1,1,1] recall 0.55 [0.5,1,1,1,1,0,0,0,1,0,1,0,0.5,0.5,0,1,0.5,0.5,1,1,1,0,1,1,0,0.5,1,0,0.5,1,0,1,0,1,0.5,0,1,0.5,0,1,1,1,0,1,0,0,1,1,1,1,1,0,0,0.5,0.5,0.5,1,1,1,1,1,0,1,0,0.5,0,1,0,1,0,0,0,1,1,0,0.5,0.5,1,0,1,1,0,0,0,1,1,0,1,0.5,1,1,0,0.5,1,1,1,0,1,1,1] recall 0.5375 [0.5,0.5,0.5,1,1,1,0,0,0,0,0.5,0,0,1,0,1,0,0,0.5,1,1,0,0.5,0,0,0.5,0.5,0,0.5,1,0,1,0,1,0,1,1,1,0,0,1,1,0,0,0,0,0.5,0.5,1,1,0.5,0.5,0,0,1,0.5,1,0.5,0,1,1,1,1,1,0,1,1,0.5,1,0,1,1,1,0.5,0.5,1,1,1,1,0,0,0,0,1,1,1,0,0,0.5,1,0,0.5,0.5,1,1,1,0,1,0.5,1] recall 0.55 [0,1,0.5,0,1,1,0,0,1,1,1,0,1,1,1,1,0,0,0.5,1,1,0,0.5,1,0,0.5,0,0,1,1,0,1,0,1,0,1,1,1,1,1,1,0.5,0,0.5,0,0.5,0.5,0,1,1,1,0,0,1,0,1,1,0.5,0,1,1,1,0,0.5,1,1,1,0.5,0.5,0,1,0,1,0,0,1,1,1,0.5,0,0,0,0,1,0,1,0,1,1,1,0,0,0.5,1,1,1,0,1,1,1] recall 0.575 [0,1,0,1,1,1,1,0,0.5,1,0.5,0,1,1,0,1,0,0,1,1,1,0,0,0,0,0.5,0,0,1,1,0,1,0,1,0.5,0,0.5,1,0,1,1,1,0,1,0,0.5,1,0,1,1,1,1,0,0,1,0,1,0.5,0,1,1,1,0.5,0.5,0,1,1,0.5,0,0,1,1,1,0,1,1,1,1,0.5,0,0.5,0,0,1,1,1,1,1,1,1,0.5,0,1,1,1,0,0,1,1,1] recall 0.51875 [0,0.5,0,1,0,1,1,1,0,0,0.5,0,1,1,1,1,0,0,0,0.5,1,0,1,1,0,1,0.5,0,1,1,0,1,0,1,0.5,0,1,0,0,1,1,0,0,0,0,1,0,0.5,0,0.5,0.5,1,0,1,0,0,1,0.5,0,1,1,1,1,1,1,1,1,0.5,0.5,0,1,0,0.5,0,1,0,1,1,0,0,0.5,1,0,1,0.5,1,0,0,1,0.5,1,1,0.5,1,1,0,0.5,1,1,0.5] recall 0.53125 [0,0,1,0,0,1,0,0,0,1,1,0,1,1,0,1,0,1,1,1,1,0,1,0.5,0,1,1,0,1,1,0,1,0,1,1,0,0.5,1,0.5,0.5,1,0.5,0.5,0,0,1,1,0,0,0.5,1,1,1,0.5,0,1,1,0,0,1,1,1,1,0,0.5,1,1,0.5,0.5,0,0,0,1,1,0,1,0,1,1,1,0,1,0,0,0.5,1,1,1,1,1,1,0,1,1,0.5,0,0.5,0,1,0.5] recall 0.610062893081761 [0,0,0,0.5,0,1,0,0,0.5,0,0,0,1,1,0,1,1,1,1,1,1,0,0,1,0,1,1,0,1,1,0,1,0,1,0,0,1,1,0,0.5,1,0.5,0.5,0,0,1,0,0,0,0.5,0.5,0,1,1,1,1,1,0,1,1,1,1,1,0.5,1,0,1,0.5,1,0,1,1,1,1,1,1,0,1,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1] relative_absolute_error 0.4103529254390205 relative_absolute_error 0.48611038859699357 relative_absolute_error 0.4924235105268248 relative_absolute_error 0.45454477894783823 relative_absolute_error 0.46717102280750056 relative_absolute_error 0.4545464679456459 relative_absolute_error 0.42929388639311 relative_absolute_error 0.48611219488631574 relative_absolute_error 0.4734859041100476 relative_absolute_error 0.39387673450768246 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949890883178135 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.09949853911503082 root_mean_prior_squared_error 0.0994985414402977 root_mean_squared_error 0.09013878188659975 root_mean_squared_error 0.09810708435174294 root_mean_squared_error 0.09874208829065752 root_mean_squared_error 0.0948683298050514 root_mean_squared_error 0.09617692030835674 root_mean_squared_error 0.0948683298050514 root_mean_squared_error 0.0921954445729289 root_mean_squared_error 0.09810708435174294 root_mean_squared_error 0.09682458365518545 root_mean_squared_error 0.08831048713694645 root_relative_squared_error 0.9059273407610291 root_relative_squared_error 0.9860116608676431 root_relative_squared_error 0.99239367999097 root_relative_squared_error 0.9534610069487428 root_relative_squared_error 0.966612814528037 root_relative_squared_error 0.9534645498199084 root_relative_squared_error 0.9266009872400361 root_relative_squared_error 0.9860153246905543 root_relative_squared_error 0.973125681204686 root_relative_squared_error 0.8875555948720673 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 511.795217000099 usercpu_time_millis 511.6858589999538 usercpu_time_millis 512.221346999695 usercpu_time_millis 511.119946000008 usercpu_time_millis 509.9187600001187 usercpu_time_millis 507.3443100000077 usercpu_time_millis 512.3705170001358 usercpu_time_millis 505.38539799981663 usercpu_time_millis 512.575828999843 usercpu_time_millis 510.073962999968 usercpu_time_millis_testing 67.57331900007557 usercpu_time_millis_testing 67.46629600002052 usercpu_time_millis_testing 66.67867499982094 usercpu_time_millis_testing 67.4972130000242 usercpu_time_millis_testing 67.64422300011574 usercpu_time_millis_testing 67.03749899998002 usercpu_time_millis_testing 67.20211200013182 usercpu_time_millis_testing 66.5440979998948 usercpu_time_millis_testing 67.05239299981258 usercpu_time_millis_testing 67.53248199993322 usercpu_time_millis_training 444.22189800002343 usercpu_time_millis_training 444.21956299993326 usercpu_time_millis_training 445.5426719998741 usercpu_time_millis_training 443.6227329999838 usercpu_time_millis_training 442.27453700000297 usercpu_time_millis_training 440.30681100002766 usercpu_time_millis_training 445.168405000004 usercpu_time_millis_training 438.84129999992183 usercpu_time_millis_training 445.5234360000304 usercpu_time_millis_training 442.54148100003476 wall_clock_time_millis 511.7805004119873 wall_clock_time_millis 511.66677474975586 wall_clock_time_millis 512.2132301330566 wall_clock_time_millis 511.1086368560791 wall_clock_time_millis 509.89460945129395 wall_clock_time_millis 507.31706619262695 wall_clock_time_millis 512.3565196990967 wall_clock_time_millis 505.36179542541504 wall_clock_time_millis 512.5579833984375 wall_clock_time_millis 510.04767417907715 wall_clock_time_millis_testing 67.57521629333496 wall_clock_time_millis_testing 67.46840476989746 wall_clock_time_millis_testing 66.680908203125 wall_clock_time_millis_testing 67.50178337097168 wall_clock_time_millis_testing 67.64698028564453 wall_clock_time_millis_testing 67.03996658325195 wall_clock_time_millis_testing 67.20590591430664 wall_clock_time_millis_testing 66.54691696166992 wall_clock_time_millis_testing 67.06428527832031 wall_clock_time_millis_testing 67.5349235534668 wall_clock_time_millis_training 444.20528411865234 wall_clock_time_millis_training 444.1983699798584 wall_clock_time_millis_training 445.53232192993164 wall_clock_time_millis_training 443.6068534851074 wall_clock_time_millis_training 442.2476291656494 wall_clock_time_millis_training 440.277099609375 wall_clock_time_millis_training 445.15061378479004 wall_clock_time_millis_training 438.8148784637451 wall_clock_time_millis_training 445.4936981201172 wall_clock_time_millis_training 442.51275062561035