DEVELOPMENT... OpenML
Run
44504

Run 44504

Task 4413 (Supervised Classification) house_8L Uploaded 29-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9407
Per class
Build CPU time
232.3465
Build memory
1693701980.1615
F measure
0.8799
Per class
Kappa
0.708
KB relative information score
158062.2983
Mean absolute error
0.1188
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
0.8799
Per class
Predictive accuracy
0.8818
Prior entropy
0.8764
Recall
0.8818
Per class
Relative absolute error
0.2851
Root mean prior squared error
0.4565
Root mean squared error
0.3296
Root relative squared error
0.722
SciMark benchmark
941.2105