Productivity

ML Results Document

Category: Productivity
Platform: Windows
Length: 35 min
Resolution: 2560 × 1440
Software: Microsoft Word, PyCharm

Samples play on a computer

35min

546clicks

595keys

Microsoft Word, PyCharm · Windows

00:00 / 34:36

Events3,143

00:00.000AppWindows Explorer

00:00.000Move641, 665 → 707, 531

00:00.000Move758, 513 → 806, 497

00:00.000Move847, 484 → 884, 473

00:00.012Move918, 466 → 1542, 1416

00:01.977Move1543, 1417 → 1672, 1409

00:02.742Click1672, 1409

00:03.012Move1672, 1409 → 832, 592

00:12.162Move830, 592 → 709, 630

00:13.784AppPyCharm

00:28.218Move708, 631 → 866, 424

00:31.071Move866, 425 → 913, 1023

00:32.106Move913, 1023 → 909, 1080

00:32.653Move909, 1080 → 908, 1054

00:33.456Move907, 1054 → 905, 1079

00:33.891Move904, 1079 → 891, 1077

00:34.611Move891, 1077 → 897, 1052

00:35.248Move897, 1051 → 899, 1041

00:35.750Move899, 1041 → 899, 1063

00:36.312Move899, 1063 → 905, 1049

00:36.891Move906, 1049 → 920, 1043

00:37.349Move920, 1043 → 916, 1049

00:37.821Move916, 1050 → 916, 1063

00:38.721Move916, 1065 → 919, 1079

00:39.050Move919, 1079 → 926, 1049

00:39.831Move926, 1049 → 926, 1061

00:40.244Move926, 1062 → 926, 1076

00:40.619Move927, 1076 → 950, 1061

00:41.309Move950, 1060 → 959, 996

00:41.579Click959, 996

00:41.819Move959, 996 → 951, 1067

00:42.374Move951, 1067 → 953, 1058

00:42.890Move953, 1056 → 953, 1046

00:43.221Move953, 1046 → 953, 1055

00:43.596Move953, 1055 → 953, 1045

00:44.129Click953, 1045

00:44.249Drag953, 1045 → 953, 1380

00:45.300Move953, 1380 → 942, 1063

00:45.584ScrollDown

00:46.221Move942, 1063 → 965, 883

Loading events

Narration197

00:00
Waited on the Windows desktop, then clicked twice near the lower-right area of the screen; no application content appeared during the span.
Bring an application or desktop window into view.
00:13
Opened PyCharm and waited for the ML Lab project to load. The program9.ipynb notebook appeared with existing code and dataset output.
Open and inspect the machine-learning notebook.
00:23
Reviewed the notebook's dataset output and train/test split code, then clicked within the displayed output area.
Inspect the loaded dataset and notebook code.
00:42
Scrolled down through the notebook, revealing dataset shape and missing-value output followed by the train/test split cell and its results. Clicked in the next notebook cell near the end.
Review dataset checks and the training/testing split results.
00:58
Opened Windows Search, entered 'word', and launched Microsoft Word. Viewed the generated document containing dataset summaries, a confusion matrix, classification report, and chart, then scrolled through it.
Open and review a Word report of the machine-learning results.
01:14
Switched between the open Word document and PyCharm, scrolling in each; ended back in the program9.ipynb notebook with the train/test split and random-forest code visible.
Alternate between reviewing the report and the notebook code.
01:18
Scrolled through the Word document, briefly switched to the PyCharm notebook, and scrolled down through its grid-search results and model evaluation code before the window was hidden.
Review the notebook's model-tuning results and evaluation output.
01:30
Scrolled down in the PyCharm notebook to review the optimized model accuracy, confusion matrix, and classification report, then switched away toward Windows Explorer.
Inspect the trained model's evaluation results.
01:45
Switched to the Word document, clicked around the embedded report images, and scrolled slightly; the document's report content remained visible.
Review and position the report images in the document.
01:55
Scrolled upward in the Word document, then clicked the large dataset-output image to select it.
Select and adjust the placement or formatting of the report image.
02:04
Opened Word's search box, typed “cr” and pressed Enter, then clicked and dragged around the selected image and document area.
Search within Word and continue manipulating the report content.
02:14
Clicked and dragged across the sample-count image to select and reposition it, then made additional clicks and brief key presses while working with the report layout; switched toward Windows Explorer at the end.
Adjust the placement of the training and testing sample-count image in the document.
02:29
Switched back to the PyCharm notebook and scrolled through the model-training cells and their output, moving from the completed grid-search results to the training/test split and parameter grid.
Review the notebook's model results and code.
02:39
Scrolled slightly through the notebook to inspect the default Random Forest model, its accuracy output, and the grid-search code below.
Review the model setup and grid-search section.
02:49
Opened the Snipping Tool overlay and dragged a rectangular selection around the notebook's “Default Model Accuracy: 83.61%” output, then returned to PyCharm.
Capture the model accuracy output as a screenshot.
02:54
Switched to the Word document and pasted the captured notebook material, then selected and dragged the “Default Model Accuracy: 83.61%” item onto the second page.
Arrange the captured notebook output in the document.
03:01
Dragged the selected accuracy item across the page and repositioned it beside the dataset summary, then clicked near the lower page area.
Position the accuracy output with the dataset summary in the document.
03:11
Selected and dragged the accuracy item several times, adjusting its position beside the dataset summary, and clicked around the selected object to refine its placement.
Fine-tune the placement of the accuracy output in the document.
03:24
Selected and adjusted the embedded output objects in Word, leaving the “Default Model Accuracy: 83.61%” box selected before switching away.
Arrange or select the model output objects in the document.
03:40
Switched to PyCharm and scrolled the notebook around the Grid Search results and best-model cell, then opened the Snipping Tool overlay.
Review the model-tuning results and capture part of the notebook.
03:54
Dragged a rectangular snip around the Grid Search completion output, best parameters, and cross-validation accuracy.
Capture the Grid Search results from the notebook.
04:01
Switched to Word and pasted the captured Grid Search results, then selected and adjusted the newly inserted output box beneath the existing summaries.
Add the Grid Search results to the document.
04:10
Returned to PyCharm, scrolled down to the optimized model output and confusion-matrix section, then opened the Snipping Tool overlay and dragged a snip around the optimized accuracy result.
Capture the optimized model accuracy from the notebook.
04:23
Returned to PyCharm and dragged a rectangular snip around the optimized model accuracy output.
Capture the optimized model accuracy result.
04:33
Returned to Word and adjusted the pasted model-results images, dragging and selecting the accuracy and grid-search result blocks to reposition them on the page.
Arrange the model evaluation results in the document.
04:49
Switched to the PyCharm notebook, scrolled to the confusion matrix and classification report, then opened the Snipping Tool overlay and dragged a selection around the report output.
Capture the notebook's classification results.
05:00
Continued adjusting the rectangular snip around the confusion matrix and classification report, then returned to the PyCharm notebook.
Finish capturing the classification report from the notebook.
05:06
Returned to Word, scrolled down to the classification-results area, and adjusted the inserted report image by dragging its selection handles.
Place the captured classification report in the document.
05:19
Scrolled the notebook, then switched to Word and selected and dragged the grid-search results image to adjust its placement above the report.
Arrange the model-tuning results alongside the evaluation output.
05:30
Selected and dragged the confusion-matrix and classification-report image in Word, adjusting its size or position, then selected nearby report text.
Refine the layout of the classification results in the document.
05:39
Selected the confusion-matrix image in Word, used the clipboard shortcut, and repeatedly dragged the image handles to resize and reposition it on the page.
Adjust the placement and size of the confusion-matrix graphic in the report.
05:49
Continued dragging the selected confusion-matrix image to refine its size and placement, then clicked elsewhere on the page and right-clicked near the page edge.
Continue arranging the results graphic in the Word document.
06:03
Switched from Word to the open PyCharm notebook and scrolled down past the confusion matrix to the comparison table and model-accuracy bar chart.
Review the model comparison results in the notebook.
06:11
Dragged across the comparison-table output, opening a rectangular screen-snipping overlay, then returned to the notebook and pressed Tab.
Capture the model-comparison output from the notebook.
06:15
Switched back to Word, selected the confusion-matrix graphic and used the clipboard shortcut, then clicked and dragged around the page to adjust the graphic's placement.
Refine the layout of the confusion-matrix graphic in the report.
06:25
Dragged and clicked within the Word document to select and reposition the comparison-table content beneath the classification report, then clicked near the upper results area and pressed Tab.
Arrange the model-comparison results in the report.
06:40
Switched from PyCharm to the Word document and pasted the copied notebook output, then clicked and selected items in the document.
Transfer the model results from the notebook into the report.
06:49
Dragged the selected comparison chart within the Word document, repositioning it beneath the confusion matrix and beside the results text.
Arrange the model comparison chart in the report.
07:01
Continued dragging and adjusting the selected chart, then scrolled upward to view more of the report page.
Refine the chart placement and review the report layout.
07:14
Reviewed the report and scrolled through its page, then clicked the Layout tab and adjusted the Word window size and position.
Review the report and access its page layout controls.
07:33
Opened the Orientation menu, then scrolled through the document while the page remained displayed in portrait orientation.
Inspect page orientation options and review the report layout.
07:43
Continued adjusting the chart layout with clicks and drags, moving the confusion matrix chart beside the comparison bar chart.
Arrange the report's charts together on the page.
07:53
Dragged the selected comparison chart and adjusted its placement and size, then selected the comparison table near the bottom of the report.
Arrange the model-comparison visuals in the document.
08:03
Dragged the Comparison Table into position beneath the classification report, then selected the chart area.
Reposition the comparison table within the report layout.
08:17
Used undo and redo keyboard shortcuts while scrolling through the document, leaving the comparison chart selected as the page moved to its lower section.
Adjust the document layout and inspect the lower report content.
08:27
Selected and dragged report objects, moving the Comparison Table and then the Classification Report block to adjust their positions.
Arrange the report text blocks beneath the model-comparison chart.
08:38
Selected the Comparison Table, then dragged the chart to a new position on the right side of the report.
Refine the placement of the chart and comparison table.
08:45
Continued dragging and adjusting the chart, then clicked outside it to leave the rearranged report visible.
Finalize the chart placement in the report.
08:53
Selected portions of the report image and scrolled down, bringing more of the model comparison chart into view.
Review the model evaluation results in the document.
08:58
Continued making text selections while the report page remained in view; the displayed results did not visibly change.
Review the report contents.

09:18
Made several selections, then clicked the lower-right zoom control twice; the confusion-matrix image became selected.
Adjust the document view and select a report image.
09:29
Scrolled down through the report, selected the comparison chart and nearby result images, and dragged an image handle to resize an item.
Arrange and inspect the report's evaluation visuals.
09:38
Dragged the classification-report image across the page and repositioned it near the upper-right area, then switched to the Layout tab.
Rearrange the evaluation results within the report.
09:51
Clicked and dragged the classification-report image again, moving it upward and slightly to the right, then left it selected.
Fine-tune the placement of the report image.
09:59
Selected and repositioned several embedded result images on the Word page, moving the dataset summary and model-output panels into a new arrangement.
Arrange the model results and dataset information on the document page.
10:09
Continued repositioning the embedded results images, placing the sample-records panel near the top and adjusting the grid-search results panel below it.
Refine the layout of the model-output images.
10:21
Dragged the grid-search results image to adjust its position and size, then clicked the page near the lower results area.
Align the model-tuning results with the other output panels.
10:26
Paused over the document, then selected the narrow dataset-shape and missing-values image near the upper right of the page.
Select the dataset summary image for layout adjustment.
10:38
Dragged and repositioned the selected dataset-summary image, then opened its Layout Options control to view text-wrapping choices.
Adjust the placement and wrapping of the dataset-summary image.
10:48
Selected a text-wrapping option and continued dragging the dataset-summary image, moving it across the page and leaving it in a horizontal orientation near the center-left.
Reposition and adjust the text wrapping of the dataset-summary image.
10:58
Selected and dragged the dataset preview image to reposition it on the page, then adjusted another image object below it.
Arrange the dataset preview and related report images in the document.
11:08
Selected and resized the default-model accuracy image, then selected and adjusted the confusion-matrix and classification-report image.
Arrange the model evaluation results on the document page.
11:18
Selected and adjusted the dataset-shape and missing-values image beneath the dataset preview, making small positioning or size changes.
Position the dataset summary image in the report layout.
11:27
Selected and adjusted the grid-search results image, then moved and resized the training/testing-samples image near the lower-left portion of the page.
Arrange the model-tuning and sample-count results in the report.
11:36
Continued positioning and resizing the training/testing-samples image, then made small adjustments to its placement.
Refine the layout of the sample-count result in the report.
11:45
Made repeated selection clicks on the report images, selected the confusion-matrix report, and then switched away from the Word window at the end of the span.
Continue arranging the model evaluation images in the document.
12:01
Selected the rotated classification-report image, then dragged its handles to adjust its size and placement on the page.
Arrange the report image within the model-results document.
12:09
Dragged and resized the classification-report image through several positions, leaving it horizontal in the lower-left area of the page.
Position the classification report alongside the other model results.
12:18
Continued adjusting image placement, moving the training/testing-samples label to the upper-right and shifting the default-accuracy label toward the center-right.
Arrange the result labels around the report and dataset output.
12:25
Dragged the default model accuracy label into the top-right area and adjusted its size and alignment.
Place the default accuracy result neatly near the top of the page.
12:35
Clicked and dragged around the accuracy label to refine its placement and dimensions, leaving it aligned at the upper-right.
Fine-tune the layout of the model-result labels.
12:44
Dragged the dataset-shape and missing-values image into position beneath the dataset preview, then clicked near the lower page area.
Arrange the dataset summary image with the other report outputs.
12:54
Selected and repositioned the embedded results panels on the Word page, moving the confusion-matrix/classification-report image and then the grid-search results panel.
Arrange the model evaluation panels in the report layout.
13:02
Continued adjusting the embedded grid-search results panel, dragging it into position near the top-right results area and selecting it.
Refine the placement of the model-tuning results in the report.
13:17
Selected the optimized model accuracy label and dragged it to a position below the grid-search results; then clicked among the page objects to adjust selection.
Place the optimized accuracy summary alongside the other model results.
13:27
Selected the grid-search results panel and the optimized-accuracy label in turn, using keyboard input while editing the objects and leaving the label below the panel.
Continue editing the report's model-results layout.
13:40
Selected the confusion-matrix and classification-report image, scrolled the page view, and dragged the image to adjust its placement; then used keyboard input while editing the selected object.
Reposition the model evaluation report image on the page.
13:51
Selected and adjusted the dataset-shape and missing-values panel, dragging it into place above the confusion-matrix report; then clicked and typed while editing the object.
Arrange the dataset-summary panel with the model evaluation panels.
13:58
Selected text within the model-results images, then clicked the right-side accuracy panel while adjusting the selection.
Select or reposition the model accuracy graphic in the document.
14:07
Clicked and dragged around the Default Model Accuracy label, leaving the small accuracy graphic selected.
Adjust the placement or selection of the accuracy graphic.
14:17
Selected document objects and clicked the comparison table near the lower-right of the page, leaving it selected before switching to another Word window.
Select the comparison table for adjustment in the report.
14:29
Dragged the selected comparison table, rotating it from horizontal to vertical, then clicked elsewhere in the document and switched to Windows Explorer.
Reposition or reorient the comparison table in the report.
14:45
Switched briefly to the PyCharm notebook, scrolled around the confusion matrix and comparison-table code and output, then returned to Word through the task switcher.
Review the notebook's model evaluation results alongside the report.
14:49
Pasted the confusion-matrix graphic into Word, selected it, and opened its Layout Options menu; scrolled the page and made additional selection or undo keystrokes while the image remained selected.
Place and adjust the confusion-matrix graphic in the report.
15:00
Switched to the Word document showing machine-learning results, clicked within the results area, and entered a newline and undo shortcut; the displayed content remained unchanged.
Adjust the Word document containing model results.
15:09
Scrolled slightly and clicked around the results content, then entered backspace and undo shortcuts; the visible results remained unchanged.
Make or review edits in the model-results document.
15:18
Pressed Enter and scrolled through the document, then clicked in the blank page area and used paste and undo shortcuts. Switched focus away briefly and returned to Word, leaving the document positioned on a mostly blank page above the results.
Navigate and adjust the layout of the results document.
15:32
Scrolled through the document to the confusion-matrix section, clicked and dragged around the chart, and selected the picture; the chart appeared with sizing handles.
Select and adjust the confusion-matrix chart in the document.
15:42
Dragged the selected chart across the page and opened its Layout Options panel, then scrolled and clicked within the document, returning the insertion point to a blank page.
Reposition the confusion-matrix chart and review its placement.
15:52
Used undo and scrolled back to the model-results pages, then clicked and dragged around the chart to select it; the chart is visible with selection handles in a smaller position on the page.
Review and adjust the confusion-matrix chart placement.
15:58
Repeatedly dragged and made text selections around the report images, then clicked near the selected confusion-matrix chart; the report remained on page 2 with the chart selected.
Adjust or select elements in the report layout.
16:16
Continued selecting and dragging the report elements, moving the selection from the comparison table area to the confusion-matrix chart and changing the chart selection; then clicked the top-right window control.
Refine the positioning or selection of report visuals.
16:32
Returned to the document, used undo keystrokes and scrolled, then selected the confusion-matrix chart and enlarged it substantially on the page.
Resize the confusion-matrix visual in the report.
16:42
Opened the chart's layout options and dragged the confusion-matrix chart across the page, repositioning it toward the right side; continued selecting the chart and accessed layout controls.
Reposition the confusion-matrix chart within the report.
16:55
Adjusted the report view and selected the comparison table; opened the Rotate menu and reviewed the rotation and flip options, then continued dragging and selecting document objects.
Arrange report content and inspect image rotation options.
17:05
Scrolled between the report pages, selected and moved report objects, and used clipboard and undo keystrokes; the view shifted to show the comparison table, classification report, and confusion matrix together.
Arrange and review the model-results content in the document.
17:15
Clicked and dragged around the confusion-matrix image in the Word document, adjusting its selection and placement. Switched away from Word at the end of the span.
Adjust the confusion-matrix image in the report.
17:28
Switched between PyCharm and Word, briefly viewed the notebook’s confusion matrix and comparison table, then returned to Word and pasted clipboard content. Continued clicking and dragging around the chart area.
Transfer or adjust model-result content in the Word report.
17:38
Dragged the selected chart in the Word document, moving the default-versus-optimized model accuracy bar chart into view beside the report content.
Position the model-accuracy comparison chart in the report.
17:45
Continued dragging and resizing the accuracy comparison chart, then clicked through its selection controls to refine its size and placement on the page.
Refine the layout of the model-comparison chart.

Assemble notebook outputs and visualizations into a Word document presenting machine-learning results.

Reviewed machine-learning notebooks and assembled their dataset summaries, model evaluation metrics, and clustering outputs into Word reports, arranging charts and captured results and preparing a PDF export.

clip.mp4The screen recording84 MB events.jsonEvery input logged, synced to the video clock21 MB frame_events.jsonEvery input logged, synced per frame34 MB narration.jsonDescriptions of what happened, and why88 KB metadata.jsonThe session's facts2 KB

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