Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.6940  0.0042  0.0835  0.0810  0.5233  0.20
Ashkenazy 1981   23  0.7348  0.0025  0.0724  0.1916  0.3629  0.26
Beliavsky 2004   49  0.6645  0.0054  0.0739  0.0714  0.4139  0.17
BenOr 1989   5  0.814  0.044  0.263  0.767  0.634  0.69
Biret 1990   50  0.6657  0.0044  0.0555  0.0513  0.4447  0.15
Blet 2003   46  0.6847  0.0051  0.0553  0.0524  0.2353  0.11
Block 1995   27  0.7249  0.0027  0.0532  0.1215  0.5030  0.24
Brailowsky 1960   56  0.5955  0.0057  0.0642  0.0629  0.2052  0.11
Chiu 1999   10  0.7822  0.0010  0.1813  0.548  0.5513  0.54
Clidat 1994   32  0.7136  0.0034  0.0648  0.0626  0.2054  0.11
Cohen 1997   59  0.5439  0.0058  0.0560  0.0510  0.5741  0.17
Coop 1987   6  0.8121  0.006  0.276  0.6513  0.549  0.59
Cortot 1951   58  0.5837  0.0059  0.0462  0.0429  0.2756  0.10
Czerny 1949   30  0.7135  0.0014  0.1418  0.3711  0.5019  0.43
Czerny 1949b   16  0.7510  0.0115  0.2314  0.547  0.658  0.59
Ezaki 2006   1  0.841  0.621  0.611  0.834  0.731  0.78
Falvay 1989   8  0.7932  0.0011  0.249  0.5614  0.5412  0.55
Ferenczy 1958   37  0.7030  0.0048  0.0557  0.053  0.7535  0.19
Fiorentino 1962   26  0.7254  0.0028  0.0627  0.1818  0.5027  0.30
Fliere 1977   11  0.787  0.019  0.1412  0.557  0.6110  0.58
Fou 1978   9  0.7913  0.018  0.187  0.6012  0.617  0.60
Francois 1956   52  0.6531  0.0056  0.1133  0.1125  0.2244  0.16
Hatto 1997   39  0.7034  0.0045  0.0554  0.0511  0.4745  0.15
Horowitz 1971   48  0.6711  0.0153  0.0644  0.0619  0.4143  0.16
Horowitz 1985   60  0.5143  0.0060  0.0561  0.0531  0.1955  0.10
Indjic 2001   42  0.6923  0.0047  0.0556  0.0511  0.4746  0.15
Kapell 1951   15  0.7562  0.0019  0.1420  0.3124  0.3623  0.33
Kiepura 1999   17  0.7518  0.0020  0.1319  0.342  0.6617  0.47
Kilenyi 1937   13  0.7741  0.0012  0.2815  0.5315  0.5614  0.54
Kissin 1993   2  0.833  0.062  0.254  0.766  0.595  0.67
Kitain 1937   62  0.3638  0.0062  0.0647  0.0656  0.0462  0.05
Kushner 1990   19  0.746  0.0116  0.1211  0.5514  0.5115  0.53
Levy 1951   53  0.6450  0.0055  0.0934  0.0914  0.4732  0.21
Luisada 1990   35  0.7044  0.0049  0.0641  0.0620  0.3350  0.14
Lushtak 2004   12  0.7814  0.0113  0.1310  0.554  0.706  0.62
Lympany 1968   29  0.7228  0.0043  0.0737  0.079  0.5034  0.19
Magaloff 1977   21  0.7459  0.0023  0.1023  0.236  0.5322  0.35
Magaloff 1977b   24  0.7352  0.0026  0.0926  0.188  0.5225  0.31
Magin 1975   7  0.8019  0.007  0.168  0.6019  0.5211  0.56
Milkina 1970   22  0.7325  0.0035  0.0736  0.0720  0.4736  0.18
Mohovich 1999   40  0.6915  0.0124  0.0925  0.188  0.6224  0.33
Nadelmann 1956   47  0.6717  0.0037  0.0558  0.0526  0.1857  0.09
Ohlsson 1999   14  0.7626  0.0018  0.1517  0.419  0.5816  0.49
Olejniczac 1990   28  0.7258  0.0031  0.0631  0.1219  0.4331  0.23
Olejniczak 1991   25  0.7356  0.0022  0.1221  0.3017  0.4021  0.35
Osinska 1989   4  0.812  0.103  0.202  0.829  0.603  0.70
Paderewski 1912   54  0.6363  0.0046  0.0559  0.0545  0.0661  0.05
Perahia 1994   57  0.595  0.0239  0.0643  0.0611  0.5638  0.18
Perlemuter 1986   45  0.6920  0.0030  0.0629  0.1432  0.1351  0.13
Poblocka 1999   3  0.829  0.015  0.335  0.733  0.712  0.72
Rangell 2001   18  0.7451  0.0021  0.0922  0.2915  0.4820  0.37
Risler 1920   51  0.6533  0.0050  0.0646  0.0627  0.3548  0.14
Rosen 1989   41  0.6924  0.0052  0.0551  0.0514  0.5042  0.16
Rubinstein 1939   55  0.6216  0.0138  0.0552  0.0518  0.3749  0.14
Rubinstein 1952   36  0.7029  0.0040  0.0550  0.0531  0.1658  0.09
Rubinstein 1966   34  0.7027  0.0041  0.0738  0.0710  0.4537  0.18
Rummel 1943   61  0.4965  0.0061  0.0549  0.0555  0.0463  0.04
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   44  0.6960  0.0036  0.0645  0.0634  0.0859  0.07
Szpilman 1948   38  0.7012  0.0129  0.0528  0.1520  0.5028  0.27
Uninsky 1971   31  0.7146  0.0033  0.0740  0.0714  0.4140  0.17
Wasowski 1980   33  0.718  0.0132  0.0730  0.134  0.7126  0.30
Weissenberg 1971   20  0.7442  0.0017  0.1416  0.4513  0.5018  0.47
Random 1    64  -0.0364  0.0064  0.0264  0.0238  0.0464  0.03
Random 2   63  0.0461  0.0063  0.0363  0.0329  0.1660  0.07
Random 3   65  -0.0453  0.0065  0.0265  0.0242  0.0465  0.03

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).