DEVELOPMENT... OpenML
Run
40017

Run 40017

Task 4350 (Supervised Classification) fri_c1_500_25 Uploaded 28-10-2014 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)_I40
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
0.9326
Per class
Build CPU time
2.4928
Build memory
879643259.04
F measure
0.8843
Per class
Kappa
0.7674
KB relative information score
3833.3364
Mean absolute error
0.1159
Mean prior absolute error
0.4977
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8844
Per class
Predictive accuracy
0.8844
Prior entropy
0.9967
Recall
0.8844
Per class
Relative absolute error
0.233
Root mean prior squared error
0.4988
Root mean squared error
0.3318
Root relative squared error
0.6651
SciMark benchmark
938.0657