DEVELOPMENT... OpenML
Run
164250

Run 164250

Task 3708 (Supervised Classification) house_8L 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)_I80
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
0.9206
Per class
F measure
0.8626
Per class
Kappa
0.6655
KB relative information score
14622.5045
Mean absolute error
0.1401
Mean prior absolute error
0.4168
Number of instances
22784
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8623
Per class
Predictive accuracy
0.8649
Prior entropy
0.8764
Recall
0.8649
Per class
Relative absolute error
0.3361
Root mean prior squared error
0.4565
Root mean squared error
0.3391
Root relative squared error
0.7428
SciMark benchmark
936.6206
UserCPU time millis
7410
UserCPU time millis testing
90
UserCPU time millis training
7320