Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.3346  0.0063  0.0470  0.0440  0.1549  0.08
Anderszewski 2003   24  0.4739  0.009  0.1314  0.5429  0.4215  0.48
Ashkenazy 1981   43  0.4210  0.0239  0.0640  0.1218  0.4030  0.22
Bacha 2000   57  0.3671  0.0048  0.0563  0.0527  0.3142  0.12
Badura 1965   6  0.532  0.063  0.248  0.591  0.664  0.62
Barbosa 1983   11  0.5225  0.0014  0.1515  0.5333  0.2819  0.39
Biret 1990   44  0.4156  0.0024  0.0627  0.3464  0.0541  0.13
Blet 2003   65  0.3342  0.0071  0.0565  0.0548  0.0667  0.05
Block 1995   69  0.3180  0.0069  0.0472  0.0478  0.0476  0.04
Blumental 1952   62  0.3560  0.0064  0.0561  0.0566  0.0568  0.05
Boshniakovich 1969   7  0.535  0.037  0.144  0.6217  0.4113  0.50
Brailowsky 1960   76  0.2888  0.0077  0.0377  0.0368  0.0480  0.03
Bunin 1987   42  0.4221  0.0142  0.0641  0.1121  0.3233  0.19
Bunin 1987b   38  0.4345  0.0035  0.0634  0.2213  0.4526  0.31
Chiu 1999   32  0.4416  0.0125  0.0729  0.291  0.5518  0.40
Cohen 1997   79  0.2668  0.0075  0.0381  0.0374  0.0384  0.03
Cortot 1951   74  0.2930  0.0060  0.0560  0.0551  0.0758  0.06
Csalog 1996   48  0.3969  0.0037  0.0635  0.1647  0.0646  0.10
Czerny 1949   2  0.5711  0.015  0.183  0.6522  0.633  0.64
Czerny 1990   12  0.5181  0.0018  0.1116  0.5141  0.2024  0.32
Duchoud 2007   54  0.3736  0.0038  0.0639  0.146  0.5827  0.28
Ezaki 2006   28  0.4534  0.0032  0.1122  0.4145  0.0735  0.17
Falvay 1989   33  0.4340  0.0049  0.0654  0.0652  0.0561  0.05
Farrell 1958   29  0.4519  0.0127  0.0626  0.3428  0.3622  0.35
Ferenczy 1958   78  0.2723  0.0185  0.0386  0.0377  0.0382  0.03
Fliere 1977   37  0.4365  0.0044  0.0545  0.1053  0.0552  0.07
Fou 1978   25  0.4644  0.0021  0.0723  0.4028  0.2823  0.33
Francois 1956   70  0.3148  0.0070  0.0469  0.0450  0.0671  0.05
Friedman 1923   86  0.2037  0.0084  0.0376  0.0373  0.0488  0.03
Friedman 1923b   83  0.2426  0.0080  0.0384  0.0366  0.0485  0.03
Friedman 1930   84  0.2472  0.0081  0.0378  0.0379  0.0381  0.03
Garcia 2007   60  0.3661  0.0041  0.0542  0.1122  0.4429  0.22
Garcia 2007b   52  0.3757  0.0034  0.0637  0.1638  0.1838  0.17
Gierzod 1998   8  0.5315  0.0115  0.1710  0.5749  0.0732  0.20
Gornostaeva 1994   40  0.4324  0.0054  0.0751  0.0756  0.0557  0.06
Groot 1988   55  0.3717  0.0153  0.1043  0.1048  0.0650  0.08
Harasiewicz 1955   18  0.4875  0.0031  0.0824  0.3845  0.0837  0.17
Hatto 1993   47  0.3976  0.0047  0.0559  0.0571  0.0478  0.04
Hatto 1997   46  0.3982  0.0043  0.0538  0.1455  0.0548  0.08
Horowitz 1949   82  0.2428  0.0083  0.0385  0.0344  0.0864  0.05
Indjic 1988   45  0.3977  0.0045  0.0657  0.0660  0.0466  0.05
Kapell 1951   15  0.5120  0.0111  0.1512  0.5525  0.4910  0.52
Kissin 1993   13  0.5129  0.0016  0.1118  0.5021  0.5112  0.50
Kushner 1989   3  0.5614  0.012  0.242  0.6619  0.467  0.55
Luisada 1991   53  0.3786  0.0066  0.0471  0.0465  0.0472  0.04
Lushtak 2004   39  0.4338  0.0036  0.0733  0.2356  0.0544  0.11
Malcuzynski 1961   9  0.526  0.038  0.129  0.5819  0.499  0.53
Magaloff 1978   21  0.4731  0.0030  0.0730  0.2935  0.2628  0.27
Magin 1975   23  0.4752  0.0022  0.0821  0.4127  0.3520  0.38
Michalowski 1933   75  0.2889  0.0062  0.0652  0.068  0.5234  0.18
Milkina 1970   1  0.621  0.561  0.551  0.783  0.671  0.72
Mohovich 1999   49  0.3859  0.0046  0.0558  0.0550  0.0569  0.05
Moravec 1969   51  0.3878  0.0057  0.0653  0.0670  0.0459  0.05
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   58  0.3649  0.0067  0.0564  0.0538  0.1351  0.08
Niedzielski 1931   87  0.1370  0.0087  0.0287  0.0287  0.0289  0.02
Ohlsson 1999   27  0.4662  0.0020  0.1320  0.4413  0.5016  0.47
Osinska 1989   10  0.524  0.034  0.156  0.6035  0.4211  0.50
Pachmann 1927   72  0.3063  0.0068  0.0474  0.0445  0.0665  0.05
Paderewski 1930   85  0.2387  0.0076  0.0375  0.0354  0.0573  0.04
Perlemuter 1992   71  0.3153  0.0078  0.0380  0.0373  0.0379  0.03
Pierdomenico 2008   63  0.3473  0.0061  0.0562  0.0532  0.3340  0.13
Poblocka 1999   20  0.4712  0.0123  0.0728  0.3249  0.0936  0.17
Rabcewiczowa 1932   34  0.4343  0.0029  0.0632  0.2560  0.0445  0.10
Rachmaninoff 1923   73  0.2983  0.0072  0.0568  0.0560  0.0560  0.05
Rangell 2001   26  0.4618  0.0126  0.0625  0.3611  0.5317  0.44
Richter 1976   4  0.538  0.0213  0.175  0.615  0.692  0.65
Rosen 1989   50  0.3866  0.0055  0.0847  0.0862  0.0456  0.06
Rosenthal 1930   81  0.2454  0.0086  0.0379  0.0372  0.0383  0.03
Rosenthal 1931   68  0.3284  0.0074  0.0566  0.0565  0.0474  0.04
Rosenthal 1931b   80  0.2564  0.0082  0.0383  0.0377  0.0487  0.03
Rosenthal 1931c   67  0.3258  0.0073  0.0473  0.0457  0.0670  0.05
Rosenthal 1931d   77  0.2874  0.0079  0.0382  0.0367  0.0486  0.03
Rossi 2007   61  0.3547  0.0059  0.0567  0.0539  0.1247  0.08
Rubinstein 1939   14  0.5132  0.0012  0.1311  0.5613  0.528  0.54
Rubinstein 1952   22  0.4735  0.0017  0.1217  0.5039  0.2025  0.32
Rubinstein 1966   5  0.5355  0.0010  0.157  0.5932  0.4114  0.49
Schilhawsky 1960   30  0.447  0.0233  0.0636  0.1636  0.2531  0.20
Shebanova 2002   31  0.4427  0.0040  0.0644  0.1041  0.1543  0.12
Smith 1975   66  0.3390  0.0065  0.0656  0.0665  0.0462  0.05
Sokolov 2002   41  0.4233  0.0051  0.0750  0.0735  0.3239  0.15
Sztompka 1959   16  0.509  0.0228  0.0731  0.2725  0.4721  0.36
Tomsic 1995   17  0.483  0.036  0.1213  0.559  0.576  0.56
Uninsky 1932   19  0.4741  0.0019  0.1119  0.496  0.675  0.57
Uninsky 1971   35  0.4322  0.0152  0.0946  0.0964  0.0554  0.07
Wasowski 1980   36  0.4350  0.0050  0.0749  0.0752  0.0655  0.06
Zak 1937   59  0.3651  0.0058  0.0655  0.0664  0.0463  0.05
Zak 1951   56  0.3713  0.0156  0.0848  0.0846  0.0653  0.07
Random 1   90  -0.0779  0.0090  0.0190  0.0154  0.0490  0.02
Random 2   88  0.0367  0.0089  0.0189  0.0137  0.1575  0.04
Random 3   89  -0.0385  0.0088  0.0188  0.0132  0.1877  0.04

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).