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AtyabShabandri/HopeSpeechDetection-CodaLab

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Model Scores

Accuracy on Training Data : 0.9955463182897862

Accuracy on Testing Data : 0.9744655581947743

The normal f1score : [0.97340754 0.9754426]

The weighted f1score : 0.9744401803757773

The weighted f1score : 0.9744250745311364

The microrecall score : 0.9744655581947743

The macrorecall score : 0.9744250745311364

The weightedrecall score : 0.9744655581947743

The normalrecall score : [0.94876432 0.99941486]

The micro precision score : 0.9744655581947743

The macro precision score : 0.9759792491080834

The weighted precision score : 0.9756320722931042

The normal precision score : [0.99936508 0.95259342]

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