Run
17032

Run 17032

Task 57 (Supervised Classification) ionosphere Uploaded 06-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I160
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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.

19 Evaluation measures

Area under ROC curve
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9249
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.835
Cross-validation details (10-fold Crossvalidation)
KB relative information score
289.8478
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.078
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9271
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9259
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9259
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1693
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2669
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5563
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.3391[550.75484986928831009.4054313942349484.3219757802961908.32989414330441758.8835103978397]