DEVELOPMENT... OpenML
Run
165111

Run 165111

Task 3602 (Supervised Classification) visualizing_environmental 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
0.7638
Per class
F measure
0.716
Per class
Kappa
0.4479
KB relative information score
46.4492
Mean absolute error
0.2928
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7471
Per class
Predictive accuracy
0.7207
Prior entropy
0.9986
Recall
0.7207
Per class
Relative absolute error
0.5867
Root mean prior squared error
0.4995
Root mean squared error
0.4972
Root relative squared error
0.9953
SciMark benchmark
894.7455
UserCPU time millis
40
UserCPU time millis training
40

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