DEVELOPMENT... OpenML
Run
165430

Run 165430

Task 3885 (Supervised Classification) mfeat-pixel Uploaded 17-02-2015 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)_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
0.9917
Per class
F measure
0.9945
Per class
Kappa
0.9694
KB relative information score
1910.2709
Mean absolute error
0.0058
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9945
Per class
Predictive accuracy
0.9945
Prior entropy
0.4703
Recall
0.9945
Per class
Relative absolute error
0.0322
Root mean prior squared error
0.3
Root mean squared error
0.0707
Root relative squared error
0.2356
SciMark benchmark
939.7623
UserCPU time millis
2710
UserCPU time millis testing
20
UserCPU time millis training
2690