DEVELOPMENT... OpenML
Run
163405

Run 163405

Task 3602 (Supervised Classification) visualizing_environmental 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
0.7562
Per class
F measure
0.7062
Per class
Kappa
0.4306
KB relative information score
47.1029
Mean absolute error
0.2887
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
0.7404
Per class
Predictive accuracy
0.7117
Prior entropy
0.9986
Recall
0.7117
Per class
Relative absolute error
0.5786
Root mean prior squared error
0.4995
Root mean squared error
0.4988
Root relative squared error
0.9986
SciMark benchmark
942.1229
UserCPU time millis
10
UserCPU time millis training
10