DEVELOPMENT... OpenML
Run
40666

Run 40666

Task 4413 (Supervised Classification) house_8L 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)_I80
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
0.9391
Per class
Build CPU time
114.5771
Build memory
1121817599.1326
F measure
0.879
Per class
Kappa
0.7058
KB relative information score
157463.7232
Mean absolute error
0.1198
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
0.8789
Per class
Predictive accuracy
0.8808
Prior entropy
0.8764
Recall
0.8808
Per class
Relative absolute error
0.2874
Root mean prior squared error
0.4565
Root mean squared error
0.3315
Root relative squared error
0.7262
SciMark benchmark
941.4198

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