DEVELOPMENT... OpenML
Run
162768

Run 162768

Task 3688 (Supervised Classification) houses 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)_I20
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
0.9937
Per class
F measure
0.9662
Per class
Kappa
0.9308
KB relative information score
19264.4906
Mean absolute error
0.0321
Mean prior absolute error
0.4907
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.967
Per class
Predictive accuracy
0.9663
Prior entropy
0.9866
Recall
0.9663
Per class
Relative absolute error
0.0655
Root mean prior squared error
0.4953
Root mean squared error
0.1696
Root relative squared error
0.3425
SciMark benchmark
922.9039
UserCPU time millis
1150
UserCPU time millis testing
30
UserCPU time millis training
1120