DEVELOPMENT... OpenML
Run
164085

Run 164085

Task 3550 (Supervised Classification) analcatdata_asbestos Uploaded 17-02-2015 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)_I80
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
0.8234
Per class
F measure
0.7597
Per class
Kappa
0.5174
KB relative information score
43.4413
Mean absolute error
0.2357
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.764
Per class
Predictive accuracy
0.759
Prior entropy
0.9919
Recall
0.759
Per class
Relative absolute error
0.4769
Root mean prior squared error
0.4971
Root mean squared error
0.4453
Root relative squared error
0.8959
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10