Run
1761536

Run 1761536

Task 3979 (Supervised Classification) AP_Breast_Colon Uploaded 24-07-2016 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.RandomSubSpace_REPTree(6)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
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.RandomSubSpace_REPTree(6)_P0.5
weka.RandomSubSpace_REPTree(6)_S1
weka.RandomSubSpace_REPTree(6)_num-slots1
weka.RandomSubSpace_REPTree(6)_I10
weka.RandomSubSpace_REPTree(6)_Wweka.classifiers.trees.REPTree

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.983
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
543.1081
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0777
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4958
Cross-validation details (10-fold Crossvalidation)
Number of instances
630
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9597
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9587
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9939
Cross-validation details (10-fold Crossvalidation)
Recall
0.9587
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1567
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1745
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3504
Cross-validation details (10-fold Crossvalidation)