DEVELOPMENT... OpenML
Run
161427

Run 161427

Task 16 (Supervised Classification) mfeat-karhunen 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)_I10
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
0.6812
Per class
F measure
0.0889
Per class
Kappa
0.105
KB relative information score
410.4581
Mean absolute error
0.1677
Mean prior absolute error
0.18
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
0.0609
Per class
Predictive accuracy
0.1945
Prior entropy
3.3219
Recall
0.1945
Per class
Relative absolute error
0.9316
Root mean prior squared error
0.3
Root mean squared error
0.2897
Root relative squared error
0.9656
SciMark benchmark
933.8635
UserCPU time millis
90
UserCPU time millis training
90