#binaryclassification β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #binaryclassification, aggregated by home.social.
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this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). under what (preferably general) conditions can you say that a binary classifier is better to use compared to a one-class classifier? #machineLearning #supervisedLearning #statistics #math #inference #statisticalInference #classification #binaryclassification
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this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). under what (preferably general) conditions can you say that a binary classifier is better to use compared to a one-class classifier? #machineLearning #supervisedLearning #statistics #math #inference #statisticalInference #classification #binaryclassification
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this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). under what (preferably general) conditions can you say that a binary classifier is better to use compared to a one-class classifier? #machineLearning #supervisedLearning #statistics #math #inference #statisticalInference #classification #binaryclassification
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this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). under what (preferably general) conditions can you say that a binary classifier is better to use compared to a one-class classifier? #machineLearning #supervisedLearning #statistics #math #inference #statisticalInference #classification #binaryclassification
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this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). under what (preferably general) conditions can you say that a binary classifier is better to use compared to a one-class classifier? #machineLearning #supervisedLearning #statistics #math #inference #statisticalInference #classification #binaryclassification
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π "Evaluating Classification Models"
π€ Jessica Greene (@sleepypioneer)
#pyladies #python #oldiebutgoodie #datascience #mlzoomcamp #machinelearning #binaryclassification
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π "Evaluating Classification Models"
π€ Jessica Greene (@sleepypioneer)
#pyladies #python #oldiebutgoodie #datascience #mlzoomcamp #machinelearning #binaryclassification
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π "Evaluating Classification Models"
π€ Jessica Greene (@sleepypioneer)
#pyladies #python #oldiebutgoodie #datascience #mlzoomcamp #machinelearning #binaryclassification
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π "Evaluating Classification Models"
π€ Jessica Greene (@sleepypioneer)
#pyladies #python #oldiebutgoodie #datascience #mlzoomcamp #machinelearning #binaryclassification
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π "Evaluating Classification Models"
π€ Jessica Greene (@sleepypioneer)
#pyladies #python #oldiebutgoodie #datascience #mlzoomcamp #machinelearning #binaryclassification
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Build a Fungus Foraging App with Machine Learning - As the 2019 mushroom foraging season approaches itβs timely to combine my thirst for knowledge about... more: https://hackaday.com/2019/08/22/build-a-fungus-foraging-app-with-machine-learning/ #binaryclassification #softwaredevelopment #machinelearning #computerhacks #softwarehacks #raspberrypi #xgboost #how-to #fungi #news