DEVELOPMENT... OpenML
Run
37903

Run 37903

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8053
Per class
Build CPU time
0.0335
Build memory
675702155.4409
F measure
0.7951
Per class
Kappa
0.5672
KB relative information score
51.2573
Mean absolute error
0.2075
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7948
Per class
Predictive accuracy
0.7957
Prior entropy
0.9645
Recall
0.7957
Per class
Relative absolute error
0.4368
Root mean prior squared error
0.4871
Root mean squared error
0.4507
Root relative squared error
0.9253
SciMark benchmark
936.9135