DEVELOPMENT... OpenML
Run
39647

Run 39647

Task 4391 (Supervised Classification) house_16H Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9384
Per class
Build CPU time
144.9581
Build memory
995204578.8671
F measure
0.8725
Per class
Kappa
0.6923
KB relative information score
152875.9375
Mean absolute error
0.1277
Mean prior absolute error
0.4168
Number of instances
227840
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.872
Per class
Predictive accuracy
0.8732
Prior entropy
0.8764
Recall
0.8732
Per class
Relative absolute error
0.3064
Root mean prior squared error
0.4565
Root mean squared error
0.3381
Root relative squared error
0.7407
SciMark benchmark
897.921