DEVELOPMENT... OpenML
Run
164426

Run 164426

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)_I80
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
0.9964
Per class
F measure
0.995
Per class
Kappa
0.972
KB relative information score
1903.8503
Mean absolute error
0.0064
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
0.995
Per class
Predictive accuracy
0.995
Prior entropy
0.4703
Recall
0.995
Per class
Relative absolute error
0.0357
Root mean prior squared error
0.3
Root mean squared error
0.0715
Root relative squared error
0.2384
SciMark benchmark
936.6206
UserCPU time millis
1610
UserCPU time millis testing
10
UserCPU time millis training
1600