DEVELOPMENT... OpenML
Run
163523

Run 163523

Task 3718 (Supervised Classification) boston 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
0.9259
Per class
F measure
0.8678
Per class
Kappa
0.7255
KB relative information score
363.1558
Mean absolute error
0.1358
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8718
Per class
Predictive accuracy
0.8696
Prior entropy
0.9782
Recall
0.8696
Per class
Relative absolute error
0.28
Root mean prior squared error
0.4924
Root mean squared error
0.3502
Root relative squared error
0.7112
SciMark benchmark
938.2848
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80