Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.6211  0.0126  0.0717  0.4331  0.2120  0.30
Anderszewski 2003   50  0.4477  0.0045  0.0549  0.0547  0.0462  0.04
Ashkenazy 1981   29  0.5427  0.0025  0.0621  0.3833  0.1724  0.25
Bacha 2000   78  0.2426  0.0079  0.0381  0.0386  0.0282  0.02
Badura 1965   10  0.6341  0.0018  0.0819  0.4211  0.4412  0.43
Barbosa 1983   17  0.619  0.0132  0.1128  0.3225  0.3519  0.33
Biret 1990   39  0.5064  0.0047  0.0553  0.0567  0.0365  0.04
Blet 2003   7  0.6517  0.0121  0.0920  0.4120  0.3417  0.37
Block 1995   71  0.3343  0.0062  0.0557  0.0564  0.0463  0.04
Blumental 1952   28  0.5422  0.0033  0.0831  0.2713  0.3221  0.29
Boshniakovich 1969   33  0.5230  0.006  0.0739  0.1645  0.1036  0.13
Brailowsky 1960   75  0.3056  0.0085  0.0288  0.0284  0.0283  0.02
Bunin 1987   6  0.6787  0.0010  0.095  0.5017  0.419  0.45
Bunin 1987b   5  0.6768  0.009  0.086  0.5017  0.418  0.45
Chiu 1999   55  0.4346  0.0059  0.0552  0.0571  0.0456  0.04
Cohen 1997   90  -0.0278  0.0088  0.0189  0.0174  0.0386  0.02
Cortot 1951   11  0.634  0.024  0.128  0.4610  0.486  0.47
Csalog 1996   83  0.1920  0.0176  0.0376  0.0378  0.0377  0.03
Czerny 1949   3  0.6942  0.0016  0.0715  0.4317  0.4013  0.41
Czerny 1990   2  0.7228  0.003  0.173  0.5216  0.3215  0.41
Duchoud 2007   14  0.6271  0.0020  0.0713  0.4424  0.3814  0.41
Ezaki 2006   13  0.6251  0.0028  0.0825  0.3444  0.0831  0.16
Falvay 1989   63  0.3983  0.0072  0.0374  0.0368  0.0471  0.03
Farrell 1958   56  0.4258  0.0065  0.0548  0.0578  0.0359  0.04
Ferenczy 1958   47  0.4719  0.0123  0.0835  0.2027  0.3025  0.24
Fliere 1977   32  0.5252  0.0055  0.0463  0.0483  0.0369  0.03
Fou 1978   77  0.2479  0.0082  0.0382  0.0376  0.0372  0.03
Francois 1956   35  0.5233  0.0038  0.0736  0.1842  0.1038  0.13
Friedman 1923   59  0.4012  0.018  0.1012  0.443  0.584  0.51
Friedman 1923b   57  0.4132  0.007  0.0810  0.453  0.583  0.51
Friedman 1930   51  0.4418  0.0113  0.0914  0.445  0.487  0.46
Garcia 2007   54  0.4360  0.0049  0.0745  0.0715  0.3632  0.16
Garcia 2007b   80  0.2266  0.0070  0.0471  0.0449  0.0568  0.04
Gierzod 1998   34  0.5223  0.0034  0.0630  0.2934  0.1827  0.23
Gornostaeva 1994   46  0.4835  0.0056  0.0467  0.0469  0.0379  0.03
Groot 1988   38  0.5049  0.0050  0.0558  0.0558  0.0466  0.04
Harasiewicz 1955   21  0.5615  0.0112  0.1118  0.4238  0.1426  0.24
Hatto 1993   76  0.2937  0.0048  0.0556  0.0558  0.0367  0.04
Hatto 1997   69  0.3480  0.0040  0.0543  0.1234  0.1339  0.12
Horowitz 1949   49  0.458  0.0154  0.0466  0.0473  0.0375  0.03
Indjic 1988   74  0.3165  0.0046  0.0647  0.0654  0.0452  0.05
Kapell 1951   24  0.5514  0.0115  0.0722  0.3729  0.3118  0.34
Kissin 1993   65  0.3829  0.0073  0.0461  0.0480  0.0276  0.03
Kushner 1989   26  0.5544  0.0042  0.0641  0.1379  0.0349  0.06
Luisada 1991   58  0.4055  0.0071  0.0470  0.0461  0.0454  0.04
Lushtak 2004   23  0.5675  0.0022  0.0824  0.3432  0.1923  0.25
Malcuzynski 1961   19  0.605  0.0211  0.089  0.4541  0.1129  0.22
Magaloff 1978   66  0.3788  0.0069  0.0469  0.0482  0.0370  0.03
Magin 1975   61  0.4013  0.0151  0.0464  0.0446  0.0651  0.05
Michalowski 1933   30  0.5461  0.0014  0.0711  0.4418  0.4211  0.43
Milkina 1970   73  0.3281  0.0080  0.0377  0.0384  0.0373  0.03
Mohovich 1999   20  0.5857  0.0036  0.0633  0.2257  0.0442  0.09
Moravec 1969   44  0.4816  0.0152  0.0459  0.0444  0.0848  0.06
Morozova 2008   25  0.5567  0.0037  0.0737  0.1770  0.0347  0.07
Neighaus 1950   31  0.5476  0.0030  0.0829  0.3249  0.0537  0.13
Niedzielski 1931   62  0.3931  0.0063  0.0465  0.0455  0.0458  0.04
Ohlsson 1999   37  0.5036  0.0039  0.0538  0.1662  0.0443  0.08
Osinska 1989   40  0.4953  0.0060  0.0551  0.0576  0.0355  0.04
Pachmann 1927   82  0.2145  0.0081  0.0284  0.0275  0.0384  0.02
Paderewski 1930   36  0.5224  0.0041  0.0540  0.1531  0.1533  0.15
Perlemuter 1992   12  0.6372  0.0031  0.0723  0.3535  0.1428  0.22
Pierdomenico 2008   52  0.4310  0.0167  0.0472  0.0463  0.0457  0.04
Poblocka 1999   48  0.4621  0.0124  0.0634  0.2237  0.1630  0.19
Rabcewiczowa 1932   8  0.6440  0.0017  0.097  0.465  0.495  0.47
Rachmaninoff 1923   16  0.626  0.025  0.124  0.5110  0.3810  0.44
Rangell 2001   68  0.3670  0.0074  0.0555  0.0581  0.0280  0.03
Richter 1976   64  0.3869  0.0064  0.0554  0.0563  0.0461  0.04
Rosen 1989   53  0.4362  0.0057  0.0550  0.0573  0.0364  0.04
Rosenthal 1930   42  0.4973  0.0043  0.0642  0.1237  0.1834  0.15
Rosenthal 1931   81  0.2189  0.0083  0.0283  0.0285  0.0285  0.02
Rosenthal 1931b   85  0.1785  0.0084  0.0380  0.0385  0.0287  0.02
Rosenthal 1931c   72  0.3282  0.0068  0.0373  0.0371  0.0381  0.03
Rosenthal 1931d   84  0.1886  0.0086  0.0285  0.0288  0.0190  0.01
Rossi 2007   67  0.3747  0.0061  0.0468  0.0444  0.0650  0.05
Rubinstein 1939   86  0.0059  0.0090  0.0190  0.0187  0.0289  0.01
Rubinstein 1952   79  0.2384  0.0089  0.0286  0.0280  0.0388  0.02
Rubinstein 1966   70  0.3448  0.0075  0.0375  0.0374  0.0378  0.03
Schilhawsky 1960   22  0.5674  0.0027  0.0627  0.3231  0.2322  0.27
Shebanova 2002   60  0.403  0.0366  0.0646  0.0663  0.0453  0.05
Smith 1975   18  0.617  0.0229  0.1026  0.3347  0.0535  0.13
Sokolov 2002   9  0.6450  0.0019  0.0916  0.4327  0.3416  0.38
Sztompka 1959   4  0.682  0.132  0.312  0.547  0.512  0.52
Tomsic 1995   27  0.5438  0.0035  0.0732  0.2563  0.0441  0.10
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.871  0.541  0.541  0.741  0.721  0.73
Wasowski 1980   45  0.4825  0.0044  0.0644  0.1168  0.0446  0.07
Zak 1937   43  0.4863  0.0058  0.0462  0.0461  0.0560  0.04
Zak 1951   41  0.4934  0.0053  0.0460  0.0475  0.0374  0.03
Random 1   89  0.0039  0.0087  0.0287  0.0221  0.3044  0.08
Random 2   88  0.0054  0.0078  0.0379  0.038  0.3940  0.11
Random 3   87  0.0090  0.0077  0.0378  0.0329  0.2145  0.08

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).