Model description

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Intended uses & limitations

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Training Procedure

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Hyperparameters

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Hyperparameter	Value
memory
steps	[('transformer', MultiSkillTransformer()), ('clf', SVC(C=1, class_weight='balanced', kernel='linear'))]
verbose	False
transformer	MultiSkillTransformer()
clf	SVC(C=1, class_weight='balanced', kernel='linear')
clf__C	1
clf__break_ties	False
clf__cache_size	200
clf__class_weight	balanced
clf__coef0	0.0
clf__decision_function_shape	ovr
clf__degree	3
clf__gamma	scale
clf__kernel	linear
clf__max_iter	-1
clf__probability	False
clf__random_state
clf__shrinking	True
clf__tol	0.001
clf__verbose	False

Model Plot

Pipeline(steps=[('transformer', MultiSkillTransformer()),('clf', SVC(C=1, class_weight='balanced', kernel='linear'))])

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Evaluation Results

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model_description

Support Vector Machine (SVM) trained to predict if a skill span is a multiskill or not.

Classification Report

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index	precision	recall	f1-score	support
SKILL	0.93617	0.807339	0.866995	109
MULTISKILL	0.834646	0.946429	0.887029	112
accuracy	0.877828	0.877828	0.877828	0.877828
macro avg	0.885408	0.876884	0.877012	221
weighted avg	0.884719	0.877828	0.877148	221