DEVELOPMENT... OpenML
Run
163003

Run 163003

Task 3921 (Supervised Classification) jEdit_4.0_4.2 Uploaded 16-02-2015 by Felicia West
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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)_I20
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
0.796
Per class
F measure
0.7222
Per class
Kappa
0.4443
KB relative information score
119.4749
Mean absolute error
0.2836
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.723
Per class
Predictive accuracy
0.7226
Prior entropy
0.9997
Recall
0.7226
Per class
Relative absolute error
0.5674
Root mean prior squared error
0.4999
Root mean squared error
0.4767
Root relative squared error
0.9536
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10