Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6850  0.0013  0.098  0.4722  0.2814  0.36
Anderszewski 2003   50  0.5065  0.0050  0.0648  0.0654  0.0451  0.05
Ashkenazy 1981   46  0.5176  0.0046  0.0550  0.0566  0.0361  0.04
Bacha 2000   71  0.3833  0.0066  0.0371  0.0349  0.0653  0.04
Badura 1965   52  0.4988  0.0060  0.0456  0.0472  0.0376  0.03
Barbosa 1983   39  0.5518  0.0123  0.0725  0.3227  0.3317  0.32
Biret 1990   12  0.686  0.058  0.1013  0.4418  0.3015  0.36
Blet 2003   34  0.5777  0.0038  0.0831  0.2153  0.0534  0.10
Block 1995   61  0.4527  0.0054  0.0454  0.0468  0.0377  0.03
Blumental 1952   64  0.4259  0.0036  0.0732  0.2124  0.2229  0.21
Boshniakovich 1969   41  0.5428  0.0071  0.0367  0.0359  0.0478  0.03
Brailowsky 1960   70  0.3870  0.0084  0.0376  0.0381  0.0362  0.03
Bunin 1987   37  0.5691  0.0042  0.0541  0.1355  0.0541  0.08
Bunin 1987b   36  0.5682  0.0043  0.0442  0.1257  0.0444  0.07
Chiu 1999   68  0.4011  0.0256  0.0461  0.0464  0.0456  0.04
Cohen 1997   87  0.1729  0.0083  0.0281  0.0278  0.0387  0.02
Cortot 1951   13  0.6722  0.0117  0.1015  0.4116  0.437  0.42
Csalog 1996   74  0.3267  0.0082  0.0282  0.0259  0.0472  0.03
Czerny 1949   1  0.801  0.201  0.201  0.654  0.591  0.62
Czerny 1990   2  0.7831  0.006  0.144  0.4918  0.3111  0.39
Duchoud 2007   27  0.6290  0.0026  0.0719  0.3734  0.2520  0.30
Ezaki 2006   10  0.6919  0.0120  0.0620  0.3649  0.0630  0.15
Falvay 1989   48  0.5149  0.0057  0.0457  0.0468  0.0458  0.04
Farrell 1958   32  0.5843  0.0034  0.0528  0.2322  0.2327  0.23
Ferenczy 1958   29  0.6139  0.0019  0.0822  0.3515  0.4112  0.38
Fliere 1977   26  0.6379  0.0049  0.0649  0.0664  0.0449  0.05
Fou 1978   75  0.3262  0.0067  0.0373  0.0374  0.0464  0.03
Francois 1956   8  0.704  0.073  0.1710  0.4711  0.388  0.42
Friedman 1923   83  0.2180  0.0035  0.0540  0.1510  0.4525  0.26
Friedman 1923b   84  0.2181  0.0030  0.0539  0.1510  0.4424  0.26
Friedman 1930   44  0.5256  0.0018  0.0918  0.4012  0.419  0.40
Garcia 2007   77  0.2983  0.0073  0.0368  0.0359  0.0475  0.03
Garcia 2007b   78  0.2766  0.0064  0.0462  0.0428  0.1643  0.08
Gierzod 1998   21  0.6515  0.0121  0.0716  0.4121  0.2318  0.31
Gornostaeva 1994   6  0.7223  0.0110  0.0921  0.3630  0.2123  0.27
Groot 1988   31  0.5941  0.0033  0.0643  0.1168  0.0348  0.06
Harasiewicz 1955   57  0.4620  0.0131  0.0533  0.1760  0.0442  0.08
Hatto 1993   85  0.2184  0.0063  0.0374  0.0370  0.0380  0.03
Hatto 1997   76  0.3152  0.0051  0.0746  0.0761  0.0352  0.05
Horowitz 1949   67  0.4060  0.0076  0.0379  0.0371  0.0368  0.03
Indjic 1988   82  0.2285  0.0061  0.0460  0.0472  0.0371  0.03
Kapell 1951   7  0.708  0.027  0.099  0.4722  0.415  0.44
Kissin 1993   60  0.4568  0.0070  0.0366  0.0374  0.0370  0.03
Kushner 1989   23  0.6455  0.0032  0.0638  0.1645  0.1231  0.14
Luisada 1991   49  0.5186  0.0059  0.0552  0.0563  0.0455  0.04
Lushtak 2004   51  0.4963  0.0037  0.0830  0.2256  0.0438  0.09
Malcuzynski 1961   20  0.6551  0.0029  0.0627  0.2661  0.0433  0.10
Magaloff 1978   35  0.5614  0.0153  0.0453  0.0477  0.0363  0.03
Magin 1975   69  0.3921  0.0178  0.0285  0.0272  0.0384  0.02
Michalowski 1933   17  0.655  0.065  0.213  0.5211  0.453  0.48
Milkina 1970   58  0.4616  0.0162  0.0372  0.0376  0.0366  0.03
Mohovich 1999   25  0.6336  0.0039  0.0729  0.2352  0.0435  0.10
Moravec 1969   43  0.5353  0.0058  0.0463  0.0447  0.0554  0.04
Morozova 2008   38  0.5654  0.0027  0.0634  0.1762  0.0440  0.08
Neighaus 1950   14  0.679  0.0211  0.097  0.4836  0.1821  0.29
Niedzielski 1931   66  0.4187  0.0077  0.0283  0.0286  0.0283  0.02
Ohlsson 1999   28  0.6234  0.0040  0.0737  0.1654  0.0537  0.09
Osinska 1989   4  0.7538  0.0015  0.0917  0.4111  0.3810  0.39
Pachmann 1927   79  0.2548  0.0080  0.0380  0.0372  0.0369  0.03
Paderewski 1930   18  0.6510  0.0225  0.0824  0.339  0.4013  0.36
Perlemuter 1992   47  0.5175  0.0047  0.0647  0.0658  0.0450  0.05
Pierdomenico 2008   30  0.6046  0.0052  0.0458  0.0448  0.0459  0.04
Poblocka 1999   19  0.6530  0.0024  0.0823  0.3535  0.2122  0.27
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   53  0.4937  0.0048  0.0551  0.0565  0.0457  0.04
Rangell 2001   54  0.4824  0.0172  0.0364  0.0370  0.0379  0.03
Richter 1976   72  0.3558  0.0081  0.0378  0.0386  0.0285  0.02
Rosen 1989   24  0.6332  0.0022  0.0726  0.3226  0.3416  0.33
Rosenthal 1930   45  0.5240  0.0055  0.0459  0.0460  0.0460  0.04
Rosenthal 1931   81  0.2372  0.0086  0.0286  0.0287  0.0286  0.02
Rosenthal 1931b   86  0.2078  0.0087  0.0289  0.0282  0.0289  0.02
Rosenthal 1931c   63  0.4244  0.0079  0.0375  0.0370  0.0381  0.03
Rosenthal 1931d   80  0.2561  0.0088  0.0288  0.0288  0.0288  0.02
Rossi 2007   59  0.4613  0.0128  0.0836  0.1710  0.2828  0.22
Rubinstein 1939   88  0.1174  0.0090  0.0190  0.0181  0.0382  0.02
Rubinstein 1952   73  0.3435  0.0085  0.0284  0.0282  0.0390  0.02
Rubinstein 1966   56  0.4747  0.0065  0.0369  0.0368  0.0473  0.03
Schilhawsky 1960   40  0.5471  0.0044  0.0445  0.0959  0.0545  0.07
Shebanova 2002   55  0.4769  0.0069  0.0365  0.0365  0.0474  0.03
Smith 1975   9  0.6912  0.0116  0.116  0.4844  0.1126  0.23
Sokolov 2002   15  0.677  0.039  0.0814  0.4138  0.2219  0.30
Sztompka 1959   3  0.772  0.172  0.252  0.566  0.512  0.53
Tomsic 1995   33  0.5717  0.0141  0.0735  0.1751  0.0439  0.08
Uninsky 1932   22  0.643  0.124  0.175  0.497  0.464  0.47
Uninsky 1971   16  0.6625  0.0112  0.1011  0.4622  0.416  0.43
Wasowski 1980   42  0.5357  0.0045  0.0544  0.1072  0.0446  0.06
Zak 1937   65  0.4289  0.0074  0.0455  0.0479  0.0365  0.03
Zak 1951   62  0.4373  0.0068  0.0370  0.0380  0.0367  0.03
Average   5  0.7245  0.0014  0.0812  0.4568  0.0332  0.12
Random 1   91  -0.1742  0.0091  0.0191  0.0187  0.0291  0.01
Random 2   90  0.0026  0.0189  0.0287  0.0228  0.2047  0.06
Random 3   89  0.0664  0.0075  0.0377  0.0317  0.3536  0.10

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).