DEVELOPMENT... OpenML
Run
39631

Run 39631

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.863
Per class
Build CPU time
0.1537
Build memory
1709891577.6
F measure
0.8188
Per class
Kappa
0.6311
KB relative information score
63.6814
Mean absolute error
0.1774
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8203
Per class
Predictive accuracy
0.82
Prior entropy
0.99
Recall
0.82
Per class
Relative absolute error
0.3599
Root mean prior squared error
0.4964
Root mean squared error
0.4184
Root relative squared error
0.8429
SciMark benchmark
941.4198