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Uncertainty in Multiclass Classification

Dr. Rishabh Pathak
1. What is Uncertainty in Classification? Uncertainty refers to the model’s confidence or doubt in its predictions. Quantifying uncertainty is important to understand how reliable each prediction is. In multiclass classification , uncertainty estimates provide probabilities over multiple classes, reflecting how sure the model is about each possible class. 2. Methods to Estimate Uncertainty in Multiclass Classification Most multiclass classifiers provide methods such as: predict_proba: Returns a probability distribution across all classes. decision_function: Returns scores or margins for each class (sometimes called raw or uncalibrated confidence scores). The probability distribution from predict_proba captures the uncertainty by assigning a probability to each class. 3. Shape and Interpretation of predict_proba in Multiclass Output shape: (n_samples, n_classes) Each row corresponds to the probabilities of ...
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Planning a Qualitative Analysis

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Dr. Rishabh Pathak

Planning a qualitative analysis in biomechanics involves a systematic approach to understanding and interpreting human movement patterns, behaviors, and interactions without numerical measurements. Here are key steps and considerations for planning a qualitative analysis in biomechanics:


1.    Research Question Formulation:

o    Clearly define the research question or objective of the qualitative analysis. Identify the specific aspect of human movement or biomechanical phenomenon to be explored qualitatively.

2.    Data Collection Methods:

o    Select appropriate data collection methods for capturing qualitative information, such as video recordings, observational notes, interviews, or focus groups.

o   Consider using qualitative tools like field notes, interviews, or open-ended questionnaires to gather rich, descriptive data about human movement.

3.    Participant Selection:

o   Determine the criteria for participant selection, including age, gender, skill level, or specific characteristics relevant to the research question.

o    Ensure informed consent and ethical considerations are addressed when recruiting participants for qualitative analysis.

4.    Observation and Data Recording:

o    Conduct systematic observations of human movement behaviors, interactions, or performance in real-world or controlled settings.

o    Use video recordings, field notes, or audio recordings to document qualitative data and capture relevant details for analysis.

5.    Data Analysis Techniques:

o    Employ qualitative analysis techniques such as thematic analysis, content analysis, or narrative analysis to identify patterns, themes, and insights from the collected data.

o    Organize and code qualitative data to extract meaningful information related to the research question or objectives.

6.    Interpretation and Findings:

o    Interpret the qualitative data to generate insights, explanations, or hypotheses about human movement patterns, strategies, or behaviors.

o    Present findings in a coherent and structured manner, using quotes, examples, or visual aids to support the qualitative analysis.

7.    Validity and Reliability:

o  Ensure the validity and reliability of qualitative analysis by employing rigorous methods for data collection, analysis, and interpretation.

o    Consider triangulation of data sources, peer debriefing, or member checking to enhance the credibility and trustworthiness of qualitative findings.

8.    Reporting and Communication:

o    Prepare a detailed report or presentation of the qualitative analysis findings, including a description of the research process, data collection methods, analysis techniques, and key insights.

o    Communicate the qualitative findings effectively to stakeholders, researchers, or practitioners in the field of biomechanics.

By following these steps and considerations, researchers can effectively plan and conduct a qualitative analysis in biomechanics to gain valuable insights into human movement patterns, behaviors, and interactions that may not be captured through quantitative measurements alone.

 

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