Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.6917  0.0145  0.0742  0.0716  0.3834  0.16
Ashkenazy 1981   17  0.7255  0.0034  0.0933  0.0935  0.0948  0.09
Beliavsky 2004   52  0.6334  0.0053  0.0835  0.0847  0.0554  0.06
BenOr 1989   5  0.7618  0.015  0.206  0.6521  0.3810  0.50
Biret 1990   26  0.7049  0.0024  0.1123  0.2933  0.1032  0.17
Blet 2003   42  0.6738  0.0049  0.0746  0.0726  0.2240  0.12
Block 1995   32  0.6940  0.0043  0.0650  0.0627  0.2443  0.12
Brailowsky 1960   56  0.6058  0.0058  0.0652  0.0641  0.0850  0.07
Chiu 1999   12  0.735  0.039  0.149  0.5221  0.489  0.50
Clidat 1994   50  0.6343  0.0052  0.0557  0.0557  0.0465  0.04
Cohen 1997   59  0.5856  0.0059  0.0462  0.0431  0.1749  0.08
Coop 1987   4  0.763  0.074  0.434  0.6817  0.504  0.58
Cortot 1951   51  0.6339  0.0057  0.0560  0.0541  0.0758  0.06
Czerny 1949   34  0.6916  0.0121  0.0924  0.2731  0.2222  0.24
Czerny 1949b   37  0.6847  0.0025  0.0731  0.1433  0.1338  0.13
Ezaki 2006   1  0.801  0.391  0.381  0.797  0.662  0.72
Falvay 1989   9  0.7423  0.0011  0.1614  0.4622  0.4313  0.44
Ferenczy 1958   48  0.6427  0.0048  0.0648  0.0610  0.5329  0.18
Fiorentino 1962   23  0.7135  0.0020  0.1218  0.3936  0.1125  0.21
Fliere 1977   16  0.7236  0.0016  0.1512  0.4928  0.2617  0.36
Fou 1978   14  0.7219  0.0115  0.1011  0.4927  0.3215  0.40
Francois 1956   57  0.5920  0.0156  0.0743  0.0711  0.5427  0.19
Hatto 1997   21  0.7222  0.0019  0.1322  0.2910  0.5616  0.40
Horowitz 1971   54  0.6226  0.0055  0.0838  0.0845  0.0557  0.06
Horowitz 1985   61  0.4757  0.0061  0.0649  0.0661  0.0459  0.05
Indjic 2001   10  0.748  0.0112  0.1515  0.464  0.635  0.54
Kapell 1951   13  0.7250  0.0014  0.1020  0.3041  0.0737  0.14
Kiepura 1999   35  0.699  0.0142  0.0558  0.0518  0.5033  0.16
Kilenyi 1937   28  0.7052  0.0018  0.1116  0.4330  0.3018  0.36
Kissin 1993   6  0.7648  0.007  0.168  0.5831  0.1519  0.29
Kitain 1937   62  0.3759  0.0062  0.0654  0.0643  0.0656  0.06
Kushner 1990   39  0.6711  0.0130  0.0728  0.1720  0.4221  0.27
Levy 1951   45  0.6661  0.0047  0.0840  0.0831  0.1245  0.10
Luisada 1990   22  0.7133  0.0035  0.0934  0.0929  0.2535  0.15
Lushtak 2004   7  0.747  0.026  0.145  0.661  0.733  0.69
Lympany 1968   33  0.6931  0.0039  0.0651  0.0612  0.4631  0.17
Magaloff 1977   30  0.7042  0.0028  0.0626  0.1738  0.0941  0.12
Magaloff 1977b   31  0.7053  0.0029  0.0729  0.1738  0.0844  0.12
Magin 1975   11  0.7424  0.0013  0.1113  0.4825  0.5011  0.49
Milkina 1970   15  0.7213  0.0132  0.0830  0.1513  0.5120  0.28
Mohovich 1999   19  0.7210  0.0110  0.1210  0.5010  0.578  0.53
Nadelmann 1956   46  0.6544  0.0046  0.0744  0.0746  0.0655  0.06
Ohlsson 1999   20  0.7225  0.0017  0.1117  0.427  0.5412  0.48
Olejniczac 1990   24  0.7151  0.0023  0.0821  0.3033  0.1426  0.20
Olejniczak 1991   38  0.6863  0.0040  0.0655  0.0633  0.1547  0.09
Osinska 1989   3  0.776  0.023  0.293  0.6926  0.406  0.53
Paderewski 1912   49  0.6432  0.0041  0.0461  0.0441  0.0761  0.05
Perahia 1994   55  0.614  0.0426  0.0732  0.118  0.5423  0.24
Perlemuter 1986   29  0.7012  0.0133  0.0837  0.085  0.6724  0.23
Poblocka 1999   2  0.802  0.272  0.512  0.796  0.711  0.75
Rangell 2001   25  0.7154  0.0031  0.0827  0.1731  0.1436  0.15
Risler 1920   53  0.6260  0.0050  0.0836  0.0832  0.1839  0.12
Rosen 1989   47  0.6530  0.0051  0.0741  0.0714  0.4830  0.18
Rubinstein 1939   58  0.5845  0.0054  0.0559  0.0534  0.0853  0.06
Rubinstein 1952   40  0.6729  0.0044  0.0653  0.0643  0.0564  0.05
Rubinstein 1966   27  0.7041  0.0037  0.0745  0.0713  0.4428  0.18
Rummel 1943   60  0.5346  0.0060  0.0747  0.0757  0.0462  0.05
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   41  0.6737  0.0036  0.0839  0.0850  0.0552  0.06
Szpilman 1948   43  0.6714  0.0138  0.0656  0.0645  0.0651  0.06
Uninsky 1971   44  0.6728  0.0027  0.0625  0.1953  0.0546  0.10
Wasowski 1980   18  0.7215  0.0122  0.0919  0.339  0.5114  0.41
Weissenberg 1971   8  0.7421  0.008  0.287  0.5919  0.487  0.53
Random 1    65  -0.0264  0.0064  0.0264  0.0232  0.1160  0.05
Random 2   63  0.0465  0.0063  0.0463  0.0416  0.3942  0.12
Random 3   64  -0.0162  0.0065  0.0265  0.0227  0.1563  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).