DEVELOPMENT... OpenML
Run
163512

Run 163512

Task 3709 (Supervised Classification) breastTumor 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)_I40
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
0.6488
Per class
F measure
0.599
Per class
Kappa
0.1792
KB relative information score
50.5786
Mean absolute error
0.4006
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6136
Per class
Predictive accuracy
0.6224
Prior entropy
0.9815
Recall
0.6224
Per class
Relative absolute error
0.8224
Root mean prior squared error
0.4935
Root mean squared error
0.516
Root relative squared error
1.0456
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20