Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.3369  0.0054  0.0651  0.0649  0.0568  0.05
Anderszewski 2003   27  0.4016  0.0025  0.1620  0.5319  0.5215  0.52
Ashkenazy 1981   75  0.2884  0.0082  0.0386  0.0373  0.0580  0.04
Bacha 2000   84  0.2427  0.0084  0.0375  0.0383  0.0382  0.03
Badura 1965   73  0.2878  0.0065  0.0557  0.0553  0.0479  0.04
Barbosa 1983   44  0.3660  0.0050  0.0848  0.0866  0.0651  0.07
Biret 1990   17  0.4361  0.0026  0.1222  0.4917  0.5714  0.53
Blet 2003   74  0.2859  0.0075  0.0381  0.0359  0.0487  0.03
Block 1995   29  0.4047  0.0030  0.0924  0.4733  0.3028  0.38
Blumental 1952   66  0.3081  0.0066  0.0560  0.0566  0.0569  0.05
Boshniakovich 1969   26  0.4134  0.0010  0.1419  0.5330  0.3027  0.40
Brailowsky 1960   53  0.3458  0.0055  0.0653  0.0663  0.0563  0.05
Bunin 1987   56  0.3330  0.0056  0.0559  0.0550  0.0671  0.05
Bunin 1987b   58  0.3272  0.0061  0.0561  0.0551  0.0665  0.05
Chiu 1999   54  0.3428  0.0060  0.0465  0.0456  0.0572  0.04
Cohen 1997   25  0.4115  0.0019  0.1325  0.468  0.6312  0.54
Cortot 1951   33  0.3914  0.0117  0.0833  0.3615  0.5523  0.44
Csalog 1996   30  0.4021  0.0034  0.1136  0.2921  0.3530  0.32
Czerny 1949   6  0.514  0.086  0.237  0.668  0.775  0.71
Czerny 1990   52  0.3451  0.0041  0.0641  0.1355  0.0646  0.09
Duchoud 2007   60  0.3186  0.0045  0.0445  0.0936  0.2241  0.14
Ezaki 2006   9  0.4720  0.0012  0.129  0.6412  0.608  0.62
Falvay 1989   13  0.4511  0.018  0.1910  0.6212  0.4513  0.53
Farrell 1958   55  0.3438  0.0046  0.0464  0.0451  0.0664  0.05
Ferenczy 1958   32  0.3962  0.0036  0.1035  0.3210  0.7319  0.48
Fliere 1977   14  0.4442  0.0029  0.0927  0.4450  0.0738  0.18
Fou 1978   37  0.3940  0.0049  0.0847  0.0856  0.0555  0.06
Francois 1956   12  0.4510  0.0115  0.0715  0.555  0.767  0.65
Friedman 1923   77  0.2679  0.0073  0.0377  0.0340  0.1461  0.06
Friedman 1923b   79  0.2568  0.0074  0.0466  0.0445  0.1154  0.07
Friedman 1930   65  0.3032  0.0042  0.0544  0.0955  0.0652  0.07
Garcia 2007   67  0.3073  0.0043  0.0443  0.0961  0.0553  0.07
Garcia 2007b   70  0.2963  0.0076  0.0288  0.0274  0.0490  0.03
Gierzod 1998   22  0.4213  0.0113  0.1113  0.5918  0.4616  0.52
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   49  0.3544  0.0027  0.0832  0.3638  0.1932  0.26
Harasiewicz 1955   7  0.4919  0.007  0.156  0.6822  0.4511  0.55
Hatto 1993   62  0.3183  0.0067  0.0558  0.0584  0.0381  0.04
Hatto 1997   40  0.3887  0.0044  0.0542  0.0966  0.0460  0.06
Horowitz 1949   82  0.2482  0.0086  0.0374  0.0378  0.0385  0.03
Indjic 1988   76  0.2890  0.0080  0.0383  0.0381  0.0486  0.03
Kapell 1951   46  0.3649  0.0039  0.0639  0.1772  0.0544  0.09
Kissin 1993   78  0.2589  0.0085  0.0470  0.0450  0.0858  0.06
Kushner 1989   23  0.4243  0.0032  0.1126  0.4670  0.0540  0.15
Luisada 1991   50  0.3548  0.0063  0.0563  0.0563  0.0662  0.05
Lushtak 2004   35  0.3936  0.0037  0.1037  0.2636  0.1437  0.19
Malcuzynski 1961   38  0.3846  0.0031  0.0928  0.4445  0.1035  0.21
Magaloff 1978   11  0.466  0.0220  0.1018  0.5421  0.3920  0.46
Magin 1975   39  0.3823  0.0040  0.0640  0.1345  0.1142  0.12
Michalowski 1933   87  0.2257  0.0087  0.0385  0.0345  0.1157  0.06
Milkina 1970   19  0.4222  0.009  0.1712  0.6119  0.579  0.59
Mohovich 1999   16  0.4370  0.0021  0.0917  0.5526  0.4717  0.51
Moravec 1969   36  0.3926  0.0028  0.1029  0.4227  0.3329  0.37
Morozova 2008   42  0.3733  0.0051  0.0750  0.0758  0.0559  0.06
Neighaus 1950   18  0.429  0.0118  0.1223  0.4820  0.4222  0.45
Niedzielski 1931   83  0.2454  0.0071  0.0379  0.0371  0.0484  0.03
Ohlsson 1999   41  0.3837  0.0047  0.0652  0.0677  0.0376  0.04
Osinska 1989   2  0.602  0.162  0.432  0.843  0.802  0.82
Pachmann 1927   61  0.3166  0.0070  0.0373  0.0350  0.0766  0.05
Paderewski 1930   88  0.2018  0.0083  0.0287  0.0277  0.0391  0.02
Perlemuter 1992   24  0.4231  0.0033  0.1234  0.3514  0.5224  0.43
Pierdomenico 2008   71  0.2876  0.0081  0.0378  0.0364  0.0483  0.03
Poblocka 1999   31  0.4064  0.0038  0.0738  0.2144  0.1639  0.18
Rabcewiczowa 1932   3  0.563  0.123  0.473  0.812  0.851  0.83
Rachmaninoff 1923   69  0.3071  0.0058  0.0469  0.0454  0.0573  0.04
Rangell 2001   48  0.3517  0.0022  0.1131  0.3624  0.4825  0.42
Richter 1976   43  0.3653  0.0059  0.0467  0.0467  0.0575  0.04
Rosen 1989   4  0.548  0.014  0.384  0.785  0.694  0.73
Rosenthal 1930   45  0.3691  0.0048  0.0846  0.0825  0.5536  0.21
Rosenthal 1931   81  0.2565  0.0079  0.0376  0.0342  0.1949  0.08
Rosenthal 1931b   85  0.2374  0.0077  0.0382  0.0337  0.2548  0.09
Rosenthal 1931c   68  0.3052  0.0057  0.0562  0.0528  0.2843  0.12
Rosenthal 1931d   86  0.2239  0.0072  0.0384  0.0328  0.3047  0.09
Rossi 2007   34  0.3925  0.0052  0.0749  0.074  0.6534  0.21
Rubinstein 1939   21  0.4212  0.0116  0.0821  0.5121  0.4221  0.46
Rubinstein 1952   20  0.4245  0.0023  0.1616  0.5530  0.4518  0.50
Rubinstein 1966   15  0.4435  0.0024  0.1414  0.5646  0.0933  0.22
Schilhawsky 1960   80  0.2541  0.0088  0.0380  0.0386  0.0388  0.03
Shebanova 2002   63  0.3055  0.0078  0.0371  0.0356  0.0677  0.04
Smith 1975   5  0.525  0.035  0.265  0.742  0.813  0.77
Sokolov 2002   8  0.487  0.0111  0.1111  0.624  0.706  0.66
Sztompka 1959   51  0.3550  0.0064  0.0654  0.0664  0.0567  0.05
Tomsic 1995   47  0.3577  0.0053  0.0555  0.0548  0.0856  0.06
Uninsky 1932   72  0.2880  0.0069  0.0372  0.0374  0.0389  0.03
Uninsky 1971   10  0.4724  0.0014  0.108  0.6514  0.5210  0.58
Wasowski 1980   28  0.4029  0.0035  0.0930  0.3736  0.2131  0.28
Zak 1937   64  0.3088  0.0068  0.0468  0.0457  0.0574  0.04
Zak 1951   59  0.3275  0.0062  0.0556  0.0545  0.1150  0.07
Average   1  0.611  0.461  0.461  0.8843  0.1826  0.40
Random 1   90  0.0285  0.0089  0.0289  0.0218  0.4145  0.09
Random 2   89  0.0267  0.0090  0.0190  0.0138  0.1878  0.04
Random 3   91  -0.0556  0.0091  0.0191  0.0128  0.2370  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).