OpenML
182763

Run 182763

Task 35 (Supervised Classification) dermatology Uploaded 25-02-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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.

22 Evaluation measures

Area under ROC curve
0.9652
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9119
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.89
Cross-validation details (10-fold Crossvalidation)
KB relative information score
317.4537
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9129
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.15
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1616
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.443
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1319.6463
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)