DEVELOPMENT... OpenML
Run
45032

Run 45032

Task 4351 (Supervised Classification) rabe_265 Uploaded 30-10-2014 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
0.637
Per class
Build CPU time
0.1745
Build memory
1224610453.7882
F measure
0.6381
Per class
Kappa
0.251
KB relative information score
113.5889
Mean absolute error
0.3741
Mean prior absolute error
0.485
Number of instances
510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6373
Per class
Predictive accuracy
0.6392
Prior entropy
0.9791
Recall
0.6392
Per class
Relative absolute error
0.7713
Root mean prior squared error
0.4922
Root mean squared error
0.5709
Root relative squared error
1.16
SciMark benchmark
945.8425