DEVELOPMENT... OpenML
Run
162799

Run 162799

Task 3716 (Supervised Classification) tecator Uploaded 16-02-2015 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_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9713
Per class
F measure
0.9123
Per class
Kappa
0.8203
KB relative information score
195.7806
Mean absolute error
0.0897
Mean prior absolute error
0.4888
Number of instances
240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9124
Per class
Predictive accuracy
0.9125
Prior entropy
0.984
Recall
0.9125
Per class
Relative absolute error
0.1834
Root mean prior squared error
0.4943
Root mean squared error
0.2793
Root relative squared error
0.5651
SciMark benchmark
922.9039
UserCPU time millis
180
UserCPU time millis training
180