Run
165116

Run 165116

Task 3606 (Supervised Classification) fri_c3_1000_10 Uploaded 17-02-2015 by Joaquin Vanschoren
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Flow

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

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
0.9543
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8859
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7682
Cross-validation details (10-fold Crossvalidation)
KB relative information score
746.0791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1264
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.8859
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.886
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.886
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2564
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3097
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6239
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.6206
UserCPU time millis
710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
710
Cross-validation details (10-fold Crossvalidation)