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Showing posts with the label Classification
Detecting Audio Inside Audio [audio Recognition]

Detecting Audio Inside Audio [audio Recognition]

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I need to build a software that does audio recognition from a small audio sample (A) inside other a… Read more Detecting Audio Inside Audio [audio Recognition]
Classification Metrics Can't Handle A Mix Of Binary And Continuous Targets

Classification Metrics Can't Handle A Mix Of Binary And Continuous Targets

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I try to train and test several scikit-learn models and attempt to print off the accuracy. Only som… Read more Classification Metrics Can't Handle A Mix Of Binary And Continuous Targets
Valueerror: Unknown Label Type: While Implementing Mlpclassifier

Valueerror: Unknown Label Type: While Implementing Mlpclassifier

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I have dataframe with columns Year, month, day,hour, minute, second, Daily_KWH. I need to predict D… Read more Valueerror: Unknown Label Type: While Implementing Mlpclassifier
Sgdclassifier Giving Different Accuracy Each Time For Text Classification

Sgdclassifier Giving Different Accuracy Each Time For Text Classification

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I'm using the SVM Classifier for classifying text as good text and gibberish. I'm using pyt… Read more Sgdclassifier Giving Different Accuracy Each Time For Text Classification
Classification Accuracy Based On Single Feature Set

Classification Accuracy Based On Single Feature Set

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I am trying to classify data based on prespecified labels. Got two columns and shown below: room_cl… Read more Classification Accuracy Based On Single Feature Set
Specific Number Of Test/train Size For Each Class In Sklearn

Specific Number Of Test/train Size For Each Class In Sklearn

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Data: import pandas as pd data = pd.DataFrame({'classes':[1,1,1,2,2,2,2],'b':[3,4,5… Read more Specific Number Of Test/train Size For Each Class In Sklearn