Cloud Computing for Science and Engineering by Ian Foster & Dennis B. Gannon

Author:Ian Foster & Dennis B. Gannon
Language: eng
Format: epub
Publisher: The MIT Press

The logistic regression model has appended several new columns to the data frame, including one called prediction. To test our prediction success rate, we compare the prediction column with the results column.

numSuccesses = predictionsDf.where(\

"""(prediction = 0 AND results = 'Fail') OR \

(prediction = 1 AND (results = 'Pass' OR \

results = 'Pass w/ Conditions'))""").count()

numInspections = predictionsDf.count()

print("There were %d inspections and there were %d predictions"\

%(numInspections,numSuccesses))

print("This is a %2.2f sucess rate"\

%(float(numSuccesses) / float(numInspections) * 100))

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