Run
1815045

Run 1815045

Task 4000 (Supervised Classification) OVA_Ovary Uploaded 08-09-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_REPTree(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.MultiBoostAB_REPTree(3)_C3
weka.MultiBoostAB_REPTree(3)_P100
weka.MultiBoostAB_REPTree(3)_S1
weka.MultiBoostAB_REPTree(3)_I10
weka.MultiBoostAB_REPTree(3)_Wweka.classifiers.trees.REPTree

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
0.924
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9381
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7109
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1017.53
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0596
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2238
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9381
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9411
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5537
Cross-validation details (10-fold Crossvalidation)
Recall
0.9411
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2662
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3343
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.237
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.709
Cross-validation details (10-fold Crossvalidation)