DEVELOPMENT... OpenML
Run
39775

Run 39775

Task 4306 (Supervised Classification) cpu_small 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
0.9677
Per class
Build CPU time
25.6923
Build memory
796641286.4492
F measure
0.9159
Per class
Kappa
0.7994
KB relative information score
64427.3782
Mean absolute error
0.0843
Mean prior absolute error
0.4219
Number of instances
81920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9157
Per class
Predictive accuracy
0.9164
Prior entropy
0.8842
Recall
0.9164
Per class
Relative absolute error
0.1997
Root mean prior squared error
0.4593
Root mean squared error
0.2779
Root relative squared error
0.6051
SciMark benchmark
944.0892