DEVELOPMENT... OpenML
Run
44433

Run 44433

Task 3687 (Supervised Classification) cal_housing Uploaded 29-10-2014 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)_I160
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
0.9517
Per class
Build CPU time
197.3849
Build memory
225004538.4
F measure
0.8764
Per class
Kappa
0.7428
KB relative information score
15205.2471
Mean absolute error
0.1256
Mean prior absolute error
0.4824
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
0.8766
Per class
Predictive accuracy
0.8769
Prior entropy
0.9745
Recall
0.8769
Per class
Relative absolute error
0.2604
Root mean prior squared error
0.4911
Root mean squared error
0.3263
Root relative squared error
0.6644
SciMark benchmark
945.0342