Run
1847824

Run 1847824

Task 145677 (Supervised Classification) Bioresponse Uploaded 27-02-2017 by Evertjan Peer
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Mon_Feb_27_12.22.13_2017 NumPy_1.12.0. Python_3.5.2. run_task SciPy_0.18.1. Sklearn_0.18.1. xgboost.sklearn.XGBClassifier
Issue #Downvotes for this reason By


Flow

xgboost.sklearn.XGBClassifier(3)Automatically created sub-component.
xgboost.sklearn.XGBClassifier(3)_base_score0.5
xgboost.sklearn.XGBClassifier(3)_colsample_bylevel1
xgboost.sklearn.XGBClassifier(3)_colsample_bytree1
xgboost.sklearn.XGBClassifier(3)_gamma0
xgboost.sklearn.XGBClassifier(3)_learning_rate0.1
xgboost.sklearn.XGBClassifier(3)_max_delta_step0
xgboost.sklearn.XGBClassifier(3)_max_depth3
xgboost.sklearn.XGBClassifier(3)_min_child_weight1
xgboost.sklearn.XGBClassifier(3)_missingNone
xgboost.sklearn.XGBClassifier(3)_n_estimators100
xgboost.sklearn.XGBClassifier(3)_nthread-1
xgboost.sklearn.XGBClassifier(3)_objectivebinary:logistic
xgboost.sklearn.XGBClassifier(3)_reg_alpha0
xgboost.sklearn.XGBClassifier(3)_reg_lambda1
xgboost.sklearn.XGBClassifier(3)_scale_pos_weight1
xgboost.sklearn.XGBClassifier(3)_seed0
xgboost.sklearn.XGBClassifier(3)_silentTrue
xgboost.sklearn.XGBClassifier(3)_subsample1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8581
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7841
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5645
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1510.6671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3141
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7846
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7846
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6327
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3898
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7825
Cross-validation details (10-fold Crossvalidation)