DEVELOPMENT... OpenML
Run
38253

Run 38253

Task 4582 (Supervised Classification) analcatdata_dmft 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)_I20
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
0.5152
Per class
Build CPU time
0.0632
Build memory
98817692.9194
F measure
0.7175
Per class
Kappa
-0.005
KB relative information score
1927.2668
Mean absolute error
0.204
Mean prior absolute error
0.3138
Number of instances
7970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6485
Per class
Predictive accuracy
0.803
Prior entropy
0.7123
Recall
0.803
Per class
Relative absolute error
0.65
Root mean prior squared error
0.3958
Root mean squared error
0.439
Root relative squared error
1.109
SciMark benchmark
943.8925