DEVELOPMENT... OpenML
Run
35968

Run 35968

Task 3708 (Supervised Classification) house_8L 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)_I10
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
0.927
Per class
Build CPU time
16.6127
Build memory
427991584.625
F measure
0.8712
Per class
Kappa
0.6863
KB relative information score
15311.3471
Mean absolute error
0.127
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
0.8711
Per class
Predictive accuracy
0.8734
Prior entropy
0.8764
Recall
0.8734
Per class
Relative absolute error
0.3047
Root mean prior squared error
0.4565
Root mean squared error
0.3454
Root relative squared error
0.7567
SciMark benchmark
940.9202