Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.3168  0.0082  0.0285  0.0260  0.0489  0.03
Anderszewski 2003   58  0.3878  0.0047  0.0555  0.0549  0.0772  0.06
Ashkenazy 1981   76  0.3263  0.0065  0.0465  0.0426  0.2759  0.10
Bacha 2000   68  0.3564  0.0072  0.0470  0.0441  0.1866  0.08
Badura 1965   74  0.3321  0.0071  0.0471  0.0443  0.1073  0.06
Barbosa 1983   24  0.4627  0.009  0.149  0.4828  0.3817  0.43
Biret 1990   5  0.514  0.023  0.276  0.5416  0.506  0.52
Blet 2003   88  0.2385  0.0087  0.0378  0.0366  0.0388  0.03
Block 1995   48  0.4118  0.0128  0.0926  0.3215  0.5020  0.40
Blumental 1952   12  0.4829  0.0010  0.1012  0.4527  0.4713  0.46
Boshniakovich 1969   52  0.4030  0.0051  0.0553  0.0549  0.0774  0.06
Brailowsky 1960   64  0.3753  0.0050  0.0646  0.0642  0.1952  0.11
Bunin 1987   35  0.4472  0.0054  0.0560  0.0521  0.3246  0.13
Bunin 1987b   43  0.4251  0.0055  0.0556  0.0528  0.2849  0.12
Chiu 1999   54  0.4043  0.0042  0.0543  0.1118  0.3840  0.20
Cohen 1997   69  0.3465  0.0074  0.0376  0.0326  0.2169  0.08
Cortot 1951   80  0.3079  0.0081  0.0381  0.0326  0.3855  0.11
Csalog 1996   59  0.3847  0.0058  0.0647  0.0650  0.0580  0.05
Czerny 1949   32  0.4442  0.0052  0.0463  0.0443  0.1667  0.08
Czerny 1990   41  0.4358  0.0040  0.0540  0.1453  0.0665  0.09
Duchoud 2007   71  0.3354  0.0076  0.0377  0.0322  0.4551  0.12
Ezaki 2006   20  0.4634  0.0030  0.0627  0.3243  0.1738  0.23
Falvay 1989   30  0.4415  0.0127  0.0823  0.3642  0.1933  0.26
Farrell 1958   11  0.4959  0.0019  0.0717  0.4117  0.569  0.48
Ferenczy 1958   75  0.3337  0.0077  0.0373  0.0352  0.0684  0.04
Fliere 1977   3  0.5210  0.012  0.284  0.5712  0.524  0.54
Fou 1978   40  0.4380  0.0034  0.0731  0.2830  0.2731  0.27
Francois 1956   81  0.2966  0.0060  0.0464  0.0428  0.2956  0.11
Friedman 1923   85  0.2689  0.0083  0.0380  0.0340  0.1375  0.06
Friedman 1923b   86  0.2567  0.0079  0.0383  0.0342  0.1670  0.07
Friedman 1930   70  0.3460  0.0062  0.0466  0.0426  0.3550  0.12
Garcia 2007   34  0.4433  0.0053  0.0552  0.0513  0.5143  0.16
Garcia 2007b   15  0.4836  0.0024  0.0824  0.3410  0.5915  0.45
Gierzod 1998   9  0.5023  0.0014  0.0815  0.4341  0.2128  0.30
Gornostaeva 1994   10  0.4948  0.0021  0.0819  0.4119  0.4518  0.43
Groot 1988   55  0.3944  0.0026  0.0933  0.2426  0.2834  0.26
Harasiewicz 1955   18  0.477  0.0113  0.0810  0.4838  0.3421  0.40
Hatto 1993   26  0.4538  0.0020  0.0721  0.3932  0.3123  0.35
Hatto 1997   38  0.4361  0.0032  0.0632  0.2738  0.2236  0.24
Horowitz 1949   84  0.2681  0.0088  0.0372  0.0361  0.0582  0.04
Indjic 1988   36  0.4413  0.0129  0.0629  0.3138  0.2332  0.27
Kapell 1951   2  0.576  0.024  0.202  0.5916  0.582  0.58
Kissin 1993   78  0.3169  0.0078  0.0284  0.0265  0.0587  0.03
Kushner 1989   6  0.5125  0.005  0.203  0.5927  0.418  0.49
Luisada 1991   79  0.3031  0.0085  0.0382  0.0372  0.0485  0.03
Lushtak 2004   14  0.4846  0.008  0.118  0.5021  0.507  0.50
Malcuzynski 1961   4  0.5226  0.0011  0.117  0.5127  0.4212  0.46
Magaloff 1978   19  0.4739  0.0035  0.0635  0.2430  0.3629  0.29
Magin 1975   23  0.4620  0.0125  0.0916  0.4123  0.4419  0.42
Michalowski 1933   87  0.2417  0.0186  0.0286  0.0218  0.4362  0.09
Milkina 1970   27  0.4555  0.0037  0.0828  0.3146  0.0842  0.16
Mohovich 1999   49  0.4073  0.0044  0.0542  0.1252  0.0568  0.08
Moravec 1969   7  0.5128  0.0017  0.0814  0.4417  0.5010  0.47
Morozova 2008   39  0.4335  0.0046  0.0461  0.0433  0.2558  0.10
Neighaus 1950   61  0.3719  0.0167  0.0374  0.0317  0.4354  0.11
Niedzielski 1931   83  0.2762  0.0084  0.0287  0.0265  0.0586  0.03
Ohlsson 1999   72  0.3382  0.0073  0.0375  0.0357  0.0583  0.04
Osinska 1989   31  0.4456  0.0038  0.0736  0.2047  0.0748  0.12
Pachmann 1927   51  0.402  0.0512  0.0939  0.157  0.5925  0.30
Paderewski 1930   82  0.2814  0.0180  0.0288  0.0234  0.1871  0.06
Perlemuter 1992   65  0.3711  0.0164  0.0462  0.0420  0.4145  0.13
Pierdomenico 2008   67  0.3575  0.0075  0.0379  0.0336  0.2860  0.09
Poblocka 1999   22  0.4649  0.0036  0.0834  0.2441  0.2039  0.22
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   47  0.413  0.047  0.1418  0.4114  0.5111  0.46
Rangell 2001   42  0.4322  0.0059  0.0648  0.0633  0.2847  0.13
Richter 1976   60  0.3886  0.0066  0.0554  0.0548  0.0679  0.05
Rosen 1989   45  0.4283  0.0045  0.0545  0.1027  0.3441  0.18
Rosenthal 1930   21  0.4632  0.0018  0.0825  0.3413  0.5616  0.44
Rosenthal 1931   28  0.459  0.0139  0.0738  0.158  0.6026  0.30
Rosenthal 1931b   56  0.3940  0.0049  0.0550  0.0512  0.5344  0.16
Rosenthal 1931c   13  0.4812  0.0116  0.0813  0.449  0.635  0.53
Rosenthal 1931d   33  0.4445  0.0041  0.0441  0.138  0.6030  0.28
Rossi 2007   63  0.3716  0.0170  0.0468  0.0430  0.2757  0.10
Rubinstein 1939   8  0.515  0.026  0.165  0.569  0.583  0.57
Rubinstein 1952   16  0.4874  0.0015  0.1111  0.4531  0.3322  0.39
Rubinstein 1966   17  0.4750  0.0023  0.0720  0.4041  0.2327  0.30
Schilhawsky 1960   25  0.468  0.0122  0.0722  0.3610  0.5614  0.45
Shebanova 2002   29  0.4557  0.0031  0.0630  0.2920  0.4124  0.34
Smith 1975   66  0.3676  0.0057  0.0551  0.0539  0.2453  0.11
Sokolov 2002   73  0.3377  0.0068  0.0469  0.0458  0.0581  0.04
Sztompka 1959   50  0.4052  0.0061  0.0467  0.0439  0.2261  0.09
Tomsic 1995   57  0.3990  0.0069  0.0558  0.0573  0.0578  0.05
Uninsky 1932   44  0.4224  0.0043  0.0444  0.1123  0.5137  0.24
Uninsky 1971   46  0.4170  0.0048  0.0559  0.0544  0.1663  0.09
Wasowski 1980   37  0.4441  0.0033  0.0737  0.1728  0.3835  0.25
Zak 1937   62  0.3791  0.0063  0.0557  0.0556  0.0576  0.05
Zak 1951   53  0.4087  0.0056  0.0649  0.0663  0.0477  0.05
Average   1  0.641  0.661  0.651  0.8023  0.511  0.64
Random 1   90  -0.0188  0.0089  0.0289  0.0217  0.3964  0.09
Random 2   89  0.0271  0.0091  0.0191  0.0171  0.0390  0.02
Random 3   91  -0.0684  0.0090  0.0190  0.0147  0.0591  0.02

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).