DEVELOPMENT... OpenML
Run
163510

Run 163510

Task 3706 (Supervised Classification) stock 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)_I40
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
0.9888
Per class
F measure
0.9241
Per class
Kappa
0.8487
KB relative information score
801.0958
Mean absolute error
0.0796
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9292
Per class
Predictive accuracy
0.9242
Prior entropy
0.9995
Recall
0.9242
Per class
Relative absolute error
0.1593
Root mean prior squared error
0.4998
Root mean squared error
0.2376
Root relative squared error
0.4754
SciMark benchmark
942.1229
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90