Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.4569  0.0018  0.0916  0.4712  0.5815  0.52
Anderszewski 2003   72  0.2733  0.0080  0.0380  0.0366  0.0487  0.03
Ashkenazy 1981   6  0.4910  0.014  0.175  0.6919  0.693  0.69
Bacha 2000   44  0.355  0.0217  0.0835  0.2011  0.5530  0.33
Badura 1965   48  0.3470  0.0058  0.0556  0.0522  0.4850  0.15
Barbosa 1983   16  0.4357  0.0042  0.0445  0.0931  0.3244  0.17
Biret 1990   84  0.2186  0.0084  0.0381  0.0357  0.0584  0.04
Blet 2003   38  0.3626  0.0060  0.0478  0.0447  0.0972  0.06
Block 1995   43  0.3582  0.0051  0.0560  0.0544  0.1365  0.08
Blumental 1952   49  0.3423  0.0050  0.0559  0.0528  0.3554  0.13
Boshniakovich 1969   56  0.3251  0.0047  0.0554  0.0534  0.3255  0.13
Brailowsky 1960   47  0.3460  0.0044  0.0539  0.1313  0.6034  0.28
Bunin 1987   40  0.3647  0.0027  0.1524  0.3522  0.4725  0.41
Bunin 1987b   39  0.3644  0.0026  0.1123  0.3522  0.4626  0.40
Chiu 1999   2  0.572  0.092  0.283  0.7110  0.691  0.70
Cohen 1997   67  0.2848  0.0076  0.0470  0.0451  0.0678  0.05
Cortot 1951   74  0.2583  0.0082  0.0383  0.0347  0.0685  0.04
Csalog 1996   52  0.3349  0.0057  0.0469  0.0434  0.2660  0.10
Czerny 1949   86  0.1835  0.0083  0.0382  0.0343  0.1768  0.07
Czerny 1990   14  0.4416  0.009  0.169  0.6113  0.765  0.68
Duchoud 2007   26  0.4024  0.0029  0.0922  0.3817  0.5223  0.44
Ezaki 2006   13  0.4477  0.0020  0.0625  0.3512  0.6618  0.48
Falvay 1989   35  0.3713  0.0019  0.0729  0.3021  0.3731  0.33
Farrell 1958   41  0.3654  0.0064  0.0557  0.0525  0.3952  0.14
Ferenczy 1958   87  0.1578  0.0088  0.0385  0.0361  0.0683  0.04
Fliere 1977   7  0.4921  0.007  0.174  0.7123  0.636  0.67
Fou 1978   4  0.5219  0.008  0.197  0.643  0.697  0.66
Francois 1956   85  0.1927  0.0081  0.0386  0.0364  0.0489  0.03
Friedman 1923   20  0.4279  0.0024  0.0919  0.4228  0.5121  0.46
Friedman 1923b   24  0.4185  0.0023  0.0620  0.4233  0.5020  0.46
Friedman 1930   21  0.4237  0.0025  0.1021  0.4129  0.5319  0.47
Garcia 2007   75  0.2512  0.0052  0.0555  0.0539  0.2458  0.11
Garcia 2007b   63  0.3071  0.0040  0.0444  0.1035  0.3142  0.18
Gierzod 1998   60  0.3134  0.0048  0.0649  0.0624  0.4446  0.16
Gornostaeva 1994   59  0.3222  0.0056  0.0475  0.0432  0.3557  0.12
Groot 1988   11  0.4439  0.006  0.146  0.6512  0.5610  0.60
Harasiewicz 1955   27  0.4038  0.0054  0.0472  0.0453  0.0679  0.05
Hatto 1993   25  0.4117  0.0031  0.0931  0.2830  0.3233  0.30
Hatto 1997   51  0.3361  0.0068  0.0563  0.0556  0.0675  0.05
Horowitz 1949   54  0.3314  0.0043  0.0541  0.1332  0.4039  0.23
Indjic 1988   34  0.3752  0.0037  0.0636  0.2031  0.3537  0.26
Kapell 1951   55  0.3262  0.0046  0.0747  0.0745  0.0963  0.08
Kissin 1993   42  0.3566  0.0038  0.0540  0.1337  0.4140  0.23
Kushner 1989   5  0.5028  0.0013  0.1310  0.598  0.669  0.62
Luisada 1991   12  0.4440  0.0015  0.1412  0.5317  0.5912  0.56
Lushtak 2004   50  0.3420  0.0066  0.0561  0.0540  0.1264  0.08
Malcuzynski 1961   22  0.4218  0.0021  0.0726  0.3423  0.4328  0.38
Magaloff 1978   32  0.3963  0.0030  0.0828  0.3323  0.4627  0.39
Magin 1975   70  0.2736  0.0074  0.0651  0.0651  0.0866  0.07
Michalowski 1933   65  0.2964  0.0053  0.0746  0.0739  0.2853  0.14
Milkina 1970   66  0.2843  0.0072  0.0653  0.0643  0.1759  0.10
Mohovich 1999   68  0.2887  0.0067  0.0468  0.0454  0.0676  0.05
Moravec 1969   45  0.3531  0.0034  0.0637  0.1826  0.3338  0.24
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   31  0.3945  0.0028  0.1317  0.4529  0.3229  0.38
Niedzielski 1931   36  0.377  0.0136  0.0733  0.2529  0.3235  0.28
Ohlsson 1999   30  0.399  0.0135  0.0534  0.2240  0.1145  0.16
Osinska 1989   79  0.2384  0.0073  0.0562  0.0546  0.0870  0.06
Pachmann 1927   58  0.3253  0.0062  0.0566  0.0543  0.1562  0.09
Paderewski 1930   76  0.2555  0.0077  0.0474  0.0456  0.0674  0.05
Perlemuter 1992   33  0.3829  0.0022  0.0627  0.3322  0.5822  0.44
Pierdomenico 2008   71  0.2772  0.0069  0.0648  0.0632  0.2556  0.12
Poblocka 1999   19  0.426  0.0114  0.1314  0.525  0.6311  0.57
Rabcewiczowa 1932   77  0.2488  0.0079  0.0564  0.0548  0.0871  0.06
Rachmaninoff 1923   23  0.4211  0.0112  0.1318  0.4320  0.5517  0.49
Rangell 2001   61  0.3180  0.0059  0.0477  0.0432  0.2761  0.10
Richter 1976   8  0.4842  0.0010  0.118  0.6226  0.688  0.65
Rosen 1989   18  0.4232  0.0011  0.1215  0.5218  0.5713  0.54
Rosenthal 1930   29  0.4067  0.0033  0.1230  0.3014  0.6024  0.42
Rosenthal 1931   46  0.3458  0.0055  0.0471  0.0423  0.5749  0.15
Rosenthal 1931b   64  0.2950  0.0065  0.0565  0.0522  0.5348  0.16
Rosenthal 1931c   53  0.338  0.0139  0.0538  0.1526  0.4736  0.27
Rosenthal 1931d   83  0.2125  0.0071  0.0650  0.0626  0.4147  0.16
Rossi 2007   89  0.0089  0.0089  0.0190  0.0178  0.0390  0.02
Rubinstein 1939   17  0.4330  0.0032  0.0932  0.2712  0.4032  0.33
Rubinstein 1952   73  0.2659  0.0070  0.0473  0.0451  0.0680  0.05
Rubinstein 1966   28  0.4073  0.0049  0.0567  0.0542  0.1067  0.07
Schilhawsky 1960   78  0.2474  0.0085  0.0384  0.0364  0.0488  0.03
Shebanova 2002   3  0.523  0.043  0.212  0.7120  0.654  0.68
Smith 1975   80  0.2256  0.0086  0.0288  0.0260  0.0586  0.03
Sokolov 2002   69  0.2841  0.0063  0.0652  0.0630  0.3351  0.14
Sztompka 1959   9  0.474  0.035  0.1313  0.5220  0.5214  0.52
Tomsic 1995   57  0.3215  0.0041  0.0542  0.1324  0.3041  0.20
Uninsky 1932   15  0.4346  0.0016  0.1011  0.5420  0.4616  0.50
Uninsky 1971   37  0.3781  0.0045  0.0643  0.1236  0.2343  0.17
Wasowski 1980   62  0.3075  0.0061  0.0379  0.0357  0.0681  0.04
Zak 1937   81  0.2276  0.0075  0.0558  0.0564  0.0573  0.05
Zak 1951   82  0.2290  0.0078  0.0476  0.0454  0.0582  0.04
Average   1  0.641  0.671  0.661  0.8511  0.572  0.70
Random 1   90  -0.0165  0.0090  0.0189  0.0163  0.0491  0.02
Random 2   88  0.0991  0.0087  0.0287  0.0228  0.2869  0.07
Random 3   91  -0.0568  0.0091  0.0191  0.0128  0.2277  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).