Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3363  0.0039  0.0838  0.2527  0.3530  0.30
Anderszewski 2003   62  0.2975  0.0043  0.0544  0.1347  0.0741  0.10
Ashkenazy 1981   81  0.2042  0.0082  0.0472  0.0469  0.0576  0.04
Bacha 2000   68  0.2855  0.0064  0.0562  0.0572  0.0365  0.04
Badura 1965   79  0.2256  0.0063  0.0563  0.0571  0.0375  0.04
Barbosa 1983   35  0.3446  0.0028  0.1025  0.4542  0.1732  0.28
Biret 1990   4  0.476  0.028  0.196  0.698  0.684  0.68
Blet 2003   84  0.1889  0.0077  0.0381  0.0383  0.0384  0.03
Block 1995   33  0.3550  0.0034  0.1129  0.4138  0.2131  0.29
Blumental 1952   57  0.3043  0.0048  0.0746  0.0768  0.0554  0.06
Boshniakovich 1969   52  0.3173  0.0049  0.0749  0.0759  0.0555  0.06
Brailowsky 1960   50  0.3187  0.0057  0.0650  0.0645  0.1145  0.08
Bunin 1987   55  0.3124  0.0061  0.0748  0.0747  0.0750  0.07
Bunin 1987b   59  0.3019  0.0062  0.0651  0.0658  0.0559  0.05
Chiu 1999   61  0.2981  0.0053  0.0655  0.0649  0.0651  0.06
Cohen 1997   13  0.4144  0.0015  0.1115  0.564  0.729  0.63
Cortot 1951   31  0.359  0.0125  0.1234  0.3210  0.6223  0.45
Csalog 1996   71  0.2782  0.0074  0.0470  0.0464  0.0572  0.04
Czerny 1949   3  0.487  0.024  0.214  0.709  0.753  0.72
Czerny 1990   58  0.3079  0.0059  0.0561  0.0561  0.0562  0.05
Duchoud 2007   69  0.2866  0.0070  0.0383  0.0368  0.0486  0.03
Ezaki 2006   5  0.463  0.103  0.229  0.659  0.655  0.65
Falvay 1989   29  0.3615  0.0140  0.0840  0.2261  0.0540  0.10
Farrell 1958   22  0.3860  0.0023  0.1024  0.4714  0.4822  0.47
Ferenczy 1958   34  0.3440  0.0038  0.0837  0.2615  0.6925  0.42
Fliere 1977   42  0.3337  0.0033  0.0935  0.3167  0.0439  0.11
Fou 1978   44  0.3372  0.0044  0.0543  0.1354  0.0546  0.08
Francois 1956   26  0.3722  0.0018  0.1121  0.5113  0.6713  0.58
Friedman 1923   86  0.1476  0.0087  0.0288  0.0284  0.0391  0.02
Friedman 1923b   87  0.1480  0.0088  0.0384  0.0383  0.0387  0.03
Friedman 1930   78  0.2335  0.0078  0.0380  0.0388  0.0385  0.03
Garcia 2007   49  0.3145  0.0050  0.0658  0.0639  0.1642  0.10
Garcia 2007b   65  0.2964  0.0058  0.0564  0.0556  0.0564  0.05
Gierzod 1998   30  0.3647  0.0032  0.1128  0.4240  0.1534  0.25
Gornostaeva 1994   1  0.562  0.152  0.482  0.853  0.811  0.83
Groot 1988   47  0.3217  0.0037  0.1039  0.2370  0.0443  0.10
Harasiewicz 1955   14  0.414  0.055  0.1812  0.6126  0.4221  0.51
Hatto 1993   63  0.2983  0.0060  0.0653  0.0678  0.0463  0.05
Hatto 1997   17  0.4027  0.0019  0.1018  0.5527  0.3126  0.41
Horowitz 1949   80  0.2265  0.0083  0.0386  0.0359  0.0481  0.03
Indjic 1988   72  0.2690  0.0067  0.0467  0.0482  0.0471  0.04
Kapell 1951   24  0.3741  0.0036  0.1236  0.3165  0.0538  0.12
Kissin 1993   88  0.1284  0.0086  0.0287  0.0282  0.0388  0.02
Kushner 1989   32  0.3548  0.0041  0.0641  0.1874  0.0447  0.08
Luisada 1991   75  0.2567  0.0079  0.0473  0.0476  0.0466  0.04
Lushtak 2004   28  0.3691  0.0027  0.0726  0.4526  0.3527  0.40
Malcuzynski 1961   48  0.3277  0.0045  0.0645  0.1156  0.0548  0.07
Magaloff 1978   20  0.3911  0.0126  0.0833  0.3344  0.1236  0.20
Magin 1975   77  0.2478  0.0065  0.0469  0.0464  0.0567  0.04
Michalowski 1933   82  0.2051  0.0084  0.0385  0.0367  0.0570  0.04
Milkina 1970   21  0.3834  0.0017  0.1113  0.6126  0.4816  0.54
Mohovich 1999   12  0.4225  0.0010  0.1411  0.6419  0.5312  0.58
Moravec 1969   25  0.3733  0.0035  0.1231  0.3939  0.1933  0.27
Morozova 2008   39  0.3453  0.0046  0.0652  0.0649  0.0653  0.06
Neighaus 1950   15  0.4116  0.0120  0.1016  0.5614  0.4918  0.52
Niedzielski 1931   83  0.1974  0.0081  0.0377  0.0380  0.0378  0.03
Ohlsson 1999   64  0.2936  0.0071  0.0468  0.0475  0.0383  0.03
Osinska 1989   6  0.4618  0.0011  0.153  0.7222  0.5011  0.60
Pachmann 1927   66  0.2839  0.0075  0.0471  0.0460  0.0569  0.04
Paderewski 1930   85  0.1885  0.0085  0.0379  0.0376  0.0382  0.03
Perlemuter 1992   53  0.3152  0.0056  0.0659  0.0666  0.0557  0.05
Pierdomenico 2008   60  0.3070  0.0069  0.0382  0.0372  0.0477  0.03
Poblocka 1999   37  0.3454  0.0042  0.0642  0.1555  0.0644  0.09
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   38  0.3471  0.0031  0.1032  0.3732  0.3128  0.34
Rangell 2001   27  0.3714  0.0121  0.1122  0.5117  0.5417  0.52
Richter 1976   74  0.2549  0.0080  0.0474  0.0477  0.0468  0.04
Rosen 1989   19  0.3958  0.0024  0.1023  0.5033  0.2029  0.32
Rosenthal 1930   8  0.445  0.049  0.185  0.707  0.772  0.73
Rosenthal 1931   40  0.3426  0.0030  0.0927  0.4410  0.7215  0.56
Rosenthal 1931b   45  0.3223  0.0029  0.0830  0.4011  0.6719  0.52
Rosenthal 1931c   16  0.4012  0.0113  0.1514  0.599  0.6410  0.61
Rosenthal 1931d   23  0.3710  0.0114  0.1517  0.556  0.766  0.65
Rossi 2007   46  0.3228  0.0066  0.0565  0.0515  0.4737  0.15
Rubinstein 1939   18  0.398  0.0216  0.1119  0.5415  0.4920  0.51
Rubinstein 1952   10  0.4329  0.006  0.197  0.6910  0.607  0.64
Rubinstein 1966   7  0.4413  0.017  0.188  0.6820  0.4714  0.57
Schilhawsky 1960   70  0.2759  0.0068  0.0475  0.0460  0.0573  0.04
Shebanova 2002   67  0.2861  0.0072  0.0566  0.0577  0.0561  0.05
Smith 1975   9  0.4430  0.0012  0.1710  0.647  0.638  0.63
Sokolov 2002   36  0.3468  0.0052  0.0660  0.0653  0.0558  0.05
Sztompka 1959   41  0.3320  0.0047  0.0747  0.0755  0.0552  0.06
Tomsic 1995   54  0.3131  0.0055  0.0656  0.0665  0.0560  0.05
Uninsky 1932   51  0.3132  0.0051  0.0654  0.0678  0.0374  0.04
Uninsky 1971   11  0.4221  0.0022  0.1020  0.5332  0.3524  0.43
Wasowski 1980   56  0.3162  0.0054  0.0657  0.0675  0.0456  0.05
Zak 1937   76  0.2486  0.0076  0.0378  0.0374  0.0479  0.03
Zak 1951   73  0.2569  0.0073  0.0476  0.0483  0.0380  0.03
Average   2  0.551  0.471  0.461  0.8753  0.0635  0.23
Random 1   91  -0.0538  0.0090  0.0190  0.0156  0.0489  0.02
Random 2   89  0.0457  0.0089  0.0289  0.0233  0.2349  0.07
Random 3   90  -0.0288  0.0091  0.0191  0.0147  0.0590  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).